Executing separate streaming queries in spark structured streaming

I am trying to aggregate stream with two different windows and printing it into the console. However only the first streaming query is being printed. The tenSecsQ is not printed into the console.

SparkSession spark = SparkSession
    .builder()
    .appName("JavaStructuredNetworkWordCountWindowed")
    .config("spark.master", "local[*]")
    .getOrCreate();

Dataset<Row> lines = spark
    .readStream()
    .format("socket")
    .option("host", host)
    .option("port", port)
    .option("includeTimestamp", true)
    .load();

Dataset<Row> words = lines
    .as(Encoders.tuple(Encoders.STRING(), Encoders.TIMESTAMP()))
    .toDF("word", "timestamp");

// 5 second window
Dataset<Row> fiveSecs = words
    .groupBy(
         functions.window(words.col("timestamp"), "5 seconds"),
         words.col("word")
    ).count().orderBy("window");

// 10 second window
Dataset<Row> tenSecs = words
    .groupBy(
          functions.window(words.col("timestamp"), "10 seconds"),
          words.col("word")
    ).count().orderBy("window");

Trigger Streaming Query for both 5s and 10s aggregated streams. The output for 10s stream is not printed. Only 5s is printed into console

// Start writeStream() for 5s window
StreamingQuery fiveSecQ = fiveSecs.writeStream()
    .queryName("5_secs")
    .outputMode("complete")
    .format("console")
    .option("truncate", "false")
    .start();

// Start writeStream() for 10s window
StreamingQuery tenSecsQ = tenSecs.writeStream()
    .queryName("10_secs")
    .outputMode("complete")
    .format("console")
    .option("truncate", "false")
    .start();

tenSecsQ.awaitTermination();