### Description

Add a process_line callback to KubernetesPodOperator 
Like https://github.com/apache/airflow/blob/main/airflow/providers/apache/beam/operators/beam.py#LL304C36-L304C57 the `BeamRunPythonPipelineOperator`, which allows the user to add stateful plugins based on the logging from docker job 

### Use case/motivation

I can add a plugin based on the logging and also allow cleanup on_kill based on the job creation log. 

### Related issues

_No response_

### Are you willing to submit a PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"spec": {
                "affinity": {},
                "containers": [
                    {
                        "image": "ubuntu:16.04",
                        "args": ["echo 10"],
                        "command": ["bash", "-cx"],
                        "env": [],
                        "envFrom": [],
                        "name": "base",
                        "ports": [],
                        "terminationMessagePolicy": "File",
                        "volumeMounts": [],
                    }
                ],
                "hostNetwork": False,
                "imagePullSecrets": [],
                "initContainers": [],
                "nodeSelector": {},
                "restartPolicy": "Never",
                "securityContext": {},
                "tolerations": [],
                "volumes": [],
            },
        }
        yield
        hook = KubernetesHook(conn_id=None, in_cluster=False)
        client = hook.core_v1_client
        client.delete_collection_namespaced_pod(namespace="default", grace_period_seconds=0)
    def _get_labels_selector(self) -> str | None: