**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,
        *,
        region: str,
        job_name: str = "{{task.task_id}}_{{ds_nodash}}",
        cluster_name: str = "cluster-1",
        project_id: str | None = None,
        dataproc_properties: dict | None = None,
        dataproc_jars: list[str] | None = None,
        gcp_conn_id: str = "google_cloud_default",
        labels: dict | None = None,
        job_error_states: set[str] | None = None,
        impersonation_chain: str | Sequence[str] | None = None,
        asynchronous: bool = False,
        deferrable: bool = conf.getboolean("operators", "default_deferrable", fallback=False),
        polling_interval_seconds: int = 10,
        **kwargs,
    ) -> None:
        super().__init__(**kwargs)
        if deferrable and polling_interval_seconds <= 0:
            raise ValueError("Invalid value for polling_interval_seconds. Expected value greater than 0")
        self.gcp_conn_id = gcp_conn_id
        self.labels = labels
        self.job_name = job_name
        self.cluster_name = cluster_name
        self.dataproc_properties = dataproc_properties
        self.dataproc_jars = dataproc_jars
        self.region = region