**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.graceful_decommission_timeout = graceful_decommission_timeout
        self.request_id = request_id
        self.retry = retry
        self.timeout = timeout
        self.metadata = metadata
        self.gcp_conn_id = gcp_conn_id
        self.impersonation_chain = impersonation_chain
        self.deferrable = deferrable
        self.polling_interval_seconds = polling_interval_seconds
    def execute(self, context: Context):
        hook = DataprocHook(gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain)
        
        project_id = self.project_id or hook.project_id
        if project_id:
            DataprocClusterLink.persist(
                context=context,
                operator=self,
                cluster_id=self.cluster_name,
                project_id=project_id,
                region=self.region,
            )
        self.log.info("Updating %s cluster.", self.cluster_name)
        operation = hook.update_cluster(
            project_id=self.project_id,
            region=self.region,
            cluster_name=self.cluster_name,
            cluster=self.cluster,
            update_mask=self.update_mask,
            graceful_decommission_timeout=self.graceful_decommission_timeout,
            request_id=self.request_id,