**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
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.create_cluster.assert_called_once_with(**create_cluster_args)
        
        self.extra_links_manager_mock.assert_has_calls(expected_calls, any_order=False)
        to_dict_mock.assert_called_once_with(mock_hook().wait_for_operation())
        self.mock_ti.xcom_push.assert_called_once_with(
            key="dataproc_cluster",
            value=DATAPROC_CLUSTER_EXPECTED,
            execution_date=None,
        )
    @mock.patch(DATAPROC_PATH.format("Cluster.to_dict"))
    @mock.patch(DATAPROC_PATH.format("DataprocHook"))
    def test_execute_if_cluster_exists(self, mock_hook, to_dict_mock):
        mock_hook.return_value.create_cluster.side_effect = [AlreadyExists("test")]
        mock_hook.return_value.get_cluster.return_value.status.state = 0
        op = DataprocCreateClusterOperator(
            task_id=TASK_ID,
            region=GCP_REGION,
            project_id=GCP_PROJECT,
            cluster_config=CONFIG,
            labels=LABELS,
            cluster_name=CLUSTER_NAME,
            gcp_conn_id=GCP_CONN_ID,
            retry=RETRY,