### Apache Airflow Provider(s)

apache-spark

### Versions of Apache Airflow Providers

apache-airflow-providers-apache-spark==2.0.1

### Apache Airflow version

2.1.4

### Operating System

Amazon Linux 2

### Deployment

Virtualenv installation

### Deployment details

_No response_

### What happened

In the file `airflow/providers/apache/spark/hooks/spark_submit.py`, the function [_process_spark_status_log](https://github.com/apache/airflow/blob/main/airflow/providers/apache/spark/hooks/spark_submit.py#L516-L535) iterates through a `curl` response to get the driver state of a `SparkSubmitOperator` task.

If there's a transient network issue and there is no valid response from the cluster (e.g. timeout, etc.), there is no "driverState" in the `curl` response, which makes the driver state "UNKNOWN".

That state [exits the loop](https://github.com/apache/airflow/blob/main/airflow/providers/apache/spark/hooks/spark_submit.py#L573) and then makes the task to go on a [retry](https://github.com/apache/airflow/blob/main/airflow/providers/apache/spark/hooks/spark_submit.py#L464-L467), while the original task is actually still in a "RUNNING" state.

### What you expected to happen

I would expect the task not to go on a retry while the original task is running. The function `_process_spark_status_log` should probably ensure the `curl` response is valid before changing the driver state, e.g. check that there is a "submissionId"  in the response as well, otherwise leave the state to `None` and continue with the polling loop. A valid response would be something like this:
```
curl http://spark-host:6066/v1/submissions/status/driver-FOO-BAR

{
  "action" : "SubmissionStatusResponse",
  "driverState" : "RUNNING",
  "serverSparkVersion" : "2.4.6",
  "submissionId" : "driver-FOO-BAR,
  "success" : true,
  "workerHostPort" : "FOO:BAR",
  "workerId" : "worker-FOO-BAR-BAZ"
}
```
### How to reproduce

Use any DAG with a `SparkSubmitOperator` task on a Spark Standalone cluster where you can reset the network connection, or modify the `curl` command to return something other than the response above.

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

tests/providers/apache/spark/hooks/test_spark_submit.py
'30',
            'http://spark-standalone-master:6066/v1/submissions/status/driver-20171128111416-0001',
        ]
        expected_spark_yarn_cluster = [
            'spark-submit',
            '--master',
            'yarn://yarn-master',
            '--status',
            'driver-20171128111417-0001',
        ]
        assert expected_spark_standalone_cluster == build_track_driver_status_spark_standalone_cluster
        assert expected_spark_yarn_cluster == build_track_driver_status_spark_yarn_cluster
    @patch('airflow.providers.apache.spark.hooks.spark_submit.subprocess.Popen')
    def test_spark_process_runcmd(self, mock_popen):
        
        mock_popen.return_value.stdout = io.StringIO('stdout')
        mock_popen.return_value.stderr = io.StringIO('stderr')
        mock_popen.return_value.wait.return_value = 0
        
        hook = SparkSubmitHook(conn_id='')
        hook.submit()
        
        assert mock_popen.mock_calls[0] == call(
            ['spark-submit', '--master', 'yarn', '--name', 'default-name', ''],
            stderr=-2,
            stdout=-1,
            universal_newlines=True,
            bufsize=-1,
        )
    def test_resolve_should_track_driver_status(self):