### 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)

if result and result.rstrip() != "__airflow_xcom_result_empty__":
                
                
                json.loads(result)
        if result is None:
            raise AirflowException(f"Failed to extract xcom from pod: {pod.metadata.name}")
        return result
    @tenacity.retry(
        stop=tenacity.stop_after_attempt(5),
        wait=tenacity.wait_exponential(multiplier=1, min=4, max=10),
        reraise=True,
    )
    def extract_xcom_kill(self, pod: V1Pod):
        """Kills xcom sidecar container."""
        with closing(
            kubernetes_stream(
                self._client.connect_get_namespaced_pod_exec,
                pod.metadata.name,
                pod.metadata.namespace,
                container=PodDefaults.SIDECAR_CONTAINER_NAME,
                command=["/bin/sh"],
                stdin=True,
                stdout=True,
                stderr=True,
                tty=False,
                _preload_content=False,
            )
        ) as resp:
            self._exec_pod_command(resp, "kill -s SIGINT 1")
    def _exec_pod_command(self, resp, command: str) -> str | None: