**Description**

This operator should cancel running workflow template `on_kill`. This option probably should be configurable because of request_id prameter in a job definition: https://googleapis.dev/python/dataproc/latest/gapic/v1/api.html#google.cloud.dataproc_v1.WorkflowTemplateServiceClient.instantiate_inline_workflow_template
https://googleapis.dev/python/dataproc/latest/gapic/v1/api.html#google.cloud.dataproc_v1.WorkflowTemplateServiceClient.instantiate_workflow_template

Note this will have to cancle the Google Long Running Operation for the workflow template (which will in turn cancel all children jobs and clean up relevant cluster).

**Use case / motivation**

Remove dangling workflow templates

**Related Issues**
#10381
#6371
job = {}
        job_id = "job_id"
        mock_hook.return_value.wait_for_job.side_effect = AirflowTaskTimeout()
        mock_hook.return_value.submit_job.return_value.reference.job_id = job_id
        op = DataprocSubmitJobOperator(
            task_id=TASK_ID,
            region=GCP_REGION,
            project_id=GCP_PROJECT,
            job=job,
            gcp_conn_id=GCP_CONN_ID,
            retry=RETRY,
            timeout=TIMEOUT,
            metadata=METADATA,
            request_id=REQUEST_ID,
            impersonation_chain=IMPERSONATION_CHAIN,
            cancel_on_kill=True,
        )
        with pytest.raises(AirflowTaskTimeout):
            op.execute(context=self.mock_context)
        op.on_kill()
        mock_hook.return_value.cancel_job.assert_called_once_with(
            project_id=GCP_PROJECT, region=GCP_REGION, job_id=job_id
        )
    @mock.patch(DATAPROC_PATH.format("DataprocHook"))
    def test_missing_region_parameter(self, mock_hook):