**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
with pytest.raises(AirflowException):
            op = DataprocUpdateClusterOperator(
                task_id=TASK_ID,
                cluster_name=CLUSTER_NAME,
                cluster=CLUSTER,
                update_mask=UPDATE_MASK,
                request_id=REQUEST_ID,
                graceful_decommission_timeout={"graceful_decommission_timeout": "600s"},
                project_id=GCP_PROJECT,
                gcp_conn_id=GCP_CONN_ID,
                retry=RETRY,
                timeout=TIMEOUT,
                metadata=METADATA,
                impersonation_chain=IMPERSONATION_CHAIN,
            )
            op.execute(context=self.mock_context)
    @mock.patch(DATAPROC_PATH.format("DataprocHook"))
    @mock.patch(DATAPROC_TRIGGERS_PATH.format("DataprocAsyncHook"))
    def test_create_execute_call_defer_method(self, mock_trigger_hook, mock_hook):