pom.xml dependencies for spark while using scala 2.12.10

These Apache Spark dependencies are not working, while working with scala 2.12.10

<dependencies>
    <dependency>
        <groupId>org.scala-lang</groupId>
        <artifactId>scala-library</artifactId>
        <version>2.12.10</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.12</artifactId>
        <version>3.0.1</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.12</artifactId>
        <version>3.0.1</version>
    </dependency>
</dependencies>

Error while running spark app from IntelliJ

Exception in thread "main" java.lang.NoSuchMethodError: scala.Product.$init$(Lscala/Product;)V at org.apache.spark.SparkConf$DeprecatedConfig.(SparkConf.scala:784) at org.apache.spark.SparkConf$.(SparkConf.scala:605) at org.apache.spark.SparkConf$.(SparkConf.scala) at org.apache.spark.SparkConf.set(SparkConf.scala:94) at org.apache.spark.SparkConf.set(SparkConf.scala:83) at org.apache.spark.SparkConf.setMaster(SparkConf.scala:115) at org.apache.spark.SparkContext$.updatedConf(SparkContext.scala:2717) at org.apache.spark.SparkContext.(SparkContext.scala:153)

However, this set of dependencies work perfectly fine with the same spark app.

    <dependency>
        <groupId>org.scala-lang</groupId>
        <artifactId>scala-library</artifactId>
        <version>2.11.8</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.11</artifactId>
        <version>2.4.1</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.11</artifactId>
        <version>2.4.1</version>
    </dependency>

Code snippet -

import org.apache.spark.SparkContext
import org.apache.log4j.{Level, Logger}
object Testing1
    {
      def main(args : Array[String]): Unit = {
        Logger.getLogger("org").setLevel(Level.OFF)
        val sc = new SparkContext("local[*]" , "SparkDemo")
        val lines = sc.textFile("sample.txt");
        val words = lines.flatMap(line => line.split(' '))
        val wordsKVRdd = words.map(x => (x,1))
        val count = wordsKVRdd.reduceByKey((x,y) => x + y).map(x => (x._2,x._1)).sortByKey(false).map(x => (x._2, x._1)).take(10)
        count.foreach(println)
      }
    }