**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.job_error_states = job_error_states or {"ERROR"}
        self.impersonation_chain = impersonation_chain
        self.hook = DataprocHook(gcp_conn_id=gcp_conn_id, impersonation_chain=impersonation_chain)
        self.project_id = project_id or self.hook.project_id
        self.job_template: DataProcJobBuilder | None = None
        self.job: dict | None = None
        self.dataproc_job_id = None
        self.asynchronous = asynchronous
        self.deferrable = deferrable
        self.polling_interval_seconds = polling_interval_seconds
    def create_job_template(self) -> DataProcJobBuilder:
        """Initialize `self.job_template` with default values."""
        if self.project_id is None:
            raise AirflowException(
                "project id should either be set via project_id "
                "parameter or retrieved from the connection,"
            )
        job_template = DataProcJobBuilder(
            project_id=self.project_id,
            task_id=self.task_id,
            cluster_name=self.cluster_name,
            job_type=self.job_type,
            properties=self.dataproc_properties,
        )
        job_template.set_job_name(self.job_name)
        job_template.add_jar_file_uris(self.dataproc_jars)
        job_template.add_labels(self.labels)
        self.job_template = job_template
        return job_template
    def _generate_job_template(self) -> str: