**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
if self.zone:
            master_type_uri = (
                f"projects/{self.project_id}/zones/{self.zone}/machineTypes/{self.master_machine_type}"
            )
            worker_type_uri = (
                f"projects/{self.project_id}/zones/{self.zone}/machineTypes/{self.worker_machine_type}"
            )
        else:
            master_type_uri = self.master_machine_type
            worker_type_uri = self.worker_machine_type
        cluster_data = {
            "gce_cluster_config": {},
            "master_config": {
                "num_instances": self.num_masters,
                "machine_type_uri": master_type_uri,
                "disk_config": {
                    "boot_disk_type": self.master_disk_type,
                    "boot_disk_size_gb": self.master_disk_size,
                },
            },
            "worker_config": {
                "num_instances": self.num_workers,
                "machine_type_uri": worker_type_uri,
                "disk_config": {
                    "boot_disk_type": self.worker_disk_type,
                    "boot_disk_size_gb": self.worker_disk_size,
                },
            },
            "secondary_worker_config": {},
            "software_config": {},