### 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)

POD_CHECKED_KEY = "already_checked"
    POST_TERMINATION_TIMEOUT = 120
    template_fields: Sequence[str] = (
        "image",
        "cmds",
        "arguments",
        "env_vars",
        "labels",
        "config_file",
        "pod_template_file",
        "namespace",
        "container_resources",
        "volumes",
        "volume_mounts",
        "cluster_context",
    )
    template_fields_renderers = {"env_vars": "py"}
    def __init__(
        self,
        *,
        kubernetes_conn_id: str | None = KubernetesHook.default_conn_name,
        namespace: str | None = None,
        image: str | None = None,
        name: str | None = None,
        random_name_suffix: bool = True,
        cmds: list[str] | None = None,
        arguments: list[str] | None = None,
        ports: list[k8s.V1ContainerPort] | None = None,
        volume_mounts: list[k8s.V1VolumeMount] | None = None,
        volumes: list[k8s.V1Volume] | None = None,