**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
*self.extra_links_expected_calls_base,
            call.hook().update_cluster(**update_cluster_args),
        ]
        op = DataprocUpdateClusterOperator(
            task_id=TASK_ID,
            region=GCP_REGION,
            cluster_name=CLUSTER_NAME,
            cluster=CLUSTER,
            update_mask=UPDATE_MASK,
            request_id=REQUEST_ID,
            graceful_decommission_timeout=cluster_decommission_timeout,
            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_hook.assert_called_once_with(gcp_conn_id=GCP_CONN_ID, impersonation_chain=IMPERSONATION_CHAIN)
        mock_hook.return_value.update_cluster.assert_called_once_with(**update_cluster_args)
        
        self.extra_links_manager_mock.assert_has_calls(expected_calls, any_order=False)
        self.mock_ti.xcom_push.assert_called_once_with(
            key="dataproc_cluster",
            value=DATAPROC_CLUSTER_EXPECTED,
            execution_date=None,
        )
    @mock.patch(DATAPROC_PATH.format("DataprocHook"))
    def test_missing_region_parameter(self, mock_hook):