How do I set up my Maven project so that dependencies are provided after deployment?

I want to try a few things with Spark, but the problem is that our cluster does provide, for example Spark 1.6.0 is already locally, but on the other hand, I need to provide these dependencies on my local development machine in my maven repository.

This will be my current pom.xml

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>masterthesis.code</groupId>
    <artifactId>wordvectors</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <stanford-corenlp.version>3.6.0</stanford-corenlp.version>
        <sista.version>3.3</sista.version>
        <gson.version>2.6.2</gson.version>
        <spark.version>1.6.0</spark.version>
    </properties>

    <dependencies>

        <!-- Apache Spark -->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.10</artifactId>
            <version>${spark.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-mllib_2.10</artifactId>
            <version>${spark.version}</version>
        </dependency>


        <!-- Stanford CoreNLP -->
        <dependency>
            <groupId>edu.stanford.nlp</groupId>
            <artifactId>stanford-corenlp</artifactId>
            <version>3.6.0</version>
        </dependency>


        <dependency>
            <groupId>edu.stanford.nlp</groupId>
            <artifactId>stanford-corenlp</artifactId>
            <version>${stanford-corenlp.version}</version>
        </dependency>

        <dependency>
            <groupId>edu.stanford.nlp</groupId>
            <artifactId>stanford-corenlp</artifactId>
            <version>${stanford-corenlp.version}</version>
            <classifier>models-english</classifier>
        </dependency>

        <!-- SISTA -->
        <dependency>
            <groupId>edu.arizona.sista</groupId>
            <artifactId>processors</artifactId>
            <version>${sista.version}</version>
        </dependency>


        <!-- GSON -->
        <dependency>
            <groupId>com.google.code.gson</groupId>
            <artifactId>gson</artifactId>
            <version>${gson.version}</version>
        </dependency>


    </dependencies>
    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.1</version>
                <configuration>
                    <source>1.7</source>
                    <target>1.7</target>
                </configuration>
            </plugin>
        </plugins>
    </build>

</project>

      

        
        
        
      

    

But how can I configure this so that the final deployed .jar does not include eg. spark-core_2.10

but instead load this dependency from the cluster?