**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,
            gcp_conn_id=GCP_CONN_ID,
            retry=RETRY,
            asynchronous=True,
            timeout=TIMEOUT,
            metadata=METADATA,
            request_id=REQUEST_ID,
            impersonation_chain=IMPERSONATION_CHAIN,
        )
        op.execute(context=self.mock_context)
        mock_hook.assert_called_once_with(
            gcp_conn_id=GCP_CONN_ID,
            impersonation_chain=IMPERSONATION_CHAIN,
        )
        mock_hook.return_value.submit_job.assert_called_once_with(
            project_id=GCP_PROJECT,
            region=GCP_REGION,
            job=job,
            request_id=REQUEST_ID,
            retry=RETRY,
            timeout=TIMEOUT,
            metadata=METADATA,
        )
        mock_hook.return_value.wait_for_job.assert_not_called()
        self.mock_ti.xcom_push.assert_called_once_with(
            key="dataproc_job", value=DATAPROC_JOB_EXPECTED, execution_date=None
        )
    @mock.patch(DATAPROC_PATH.format("DataprocHook"))
    @mock.patch(DATAPROC_TRIGGERS_PATH.format("DataprocAsyncHook"))
    def test_execute_deferrable(self, mock_trigger_hook, mock_hook):