**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
region=self.region,
                        gcp_conn_id=self.gcp_conn_id,
                        impersonation_chain=self.impersonation_chain,
                        polling_interval_seconds=self.polling_interval_seconds,
                    ),
                    method_name="execute_complete",
                )
            
            result = hook.wait_for_batch(
                batch_id=self.batch_id,
                region=self.region,
                project_id=self.project_id,
                retry=self.retry,
                timeout=self.timeout,
                metadata=self.metadata,
                wait_check_interval=self.polling_interval_seconds,
            )
        batch_id = self.batch_id or result.name.split("/")[-1]
        self.handle_batch_status(context, result.state, batch_id)
        project_id = self.project_id or hook.project_id
        if project_id:
            DataprocBatchLink.persist(
                context=context,
                operator=self,
                project_id=project_id,
                region=self.region,
                batch_id=batch_id,
            )
        return Batch.to_dict(result)
    def execute_complete(self, context, event=None) -> None: