**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.cluster_config = cluster_config
        self.cluster_name = cluster_name
        self.labels = labels
        self.project_id = project_id
        self.region = region
        self.request_id = request_id
        self.retry = retry
        self.timeout = timeout
        self.metadata = metadata
        self.gcp_conn_id = gcp_conn_id
        self.delete_on_error = delete_on_error
        self.use_if_exists = use_if_exists
        self.impersonation_chain = impersonation_chain
        self.virtual_cluster_config = virtual_cluster_config
        self.deferrable = deferrable
        self.polling_interval_seconds = polling_interval_seconds
    def _create_cluster(self, hook: DataprocHook):
        return hook.create_cluster(
            project_id=self.project_id,
            region=self.region,
            cluster_name=self.cluster_name,
            labels=self.labels,
            cluster_config=self.cluster_config,
            virtual_cluster_config=self.virtual_cluster_config,
            request_id=self.request_id,
            retry=self.retry,
            timeout=self.timeout,
            metadata=self.metadata,
        )
    def _delete_cluster(self, hook):