### Apache Airflow version

main (development)

### What happened

When dag processor starts with a sub directory to process then the import errors are recorded with that path. So when there is processor for airflow-dag-processor-0 folder in order to remove import errors it lists all files under airflow-dag-processor-0 folder and deletes those not present. This becomes an issue when there is airflow-dag-processor-1 that records import errors whose files won't be part of airflow-dag-processor-0 folder. 

### What you think should happen instead

The fix would be to have processor_subdir stored in ImportError table so that during querying we only look at import errors relevant to the dag processor and don't delete other items. A fix similar to https://github.com/apache/airflow/pull/33357 needs to be applied for import errors as well.

### How to reproduce

1. create a dag file with import error at `~/airflow/dags/airflow-dag-processor-0/sample_sleep.py` . Start a dag processor with -S to process "~/airflow/dags/airflow-dag-processor-0/" . Import error should be present.
2. create a dag file with import error at `~/airflow/dags/airflow-dag-processor-1/sample_sleep.py` . Start a dag processor with -S to process "~/airflow/dags/airflow-dag-processor-1/". Import error for airflow-dag-processor-0 is deleted.
3. 

```python
from datetime import datetime, timedelta

from airflow import DAG
from airflow.decorators import task

from datetime import timedelta, invalid


with DAG(
    dag_id="task_duration",
    start_date=datetime(2023, 1, 1),
    catchup=True,
    schedule_interval="@daily",
) as dag:

    @task
    def sleeper():
        pass

    sleeper()
```

### Operating System

Ubuntu

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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)

)
            else:
                session.add(
                    errors.ImportError(filename=filename, timestamp=timezone.utcnow(), stacktrace=stacktrace)
                )
            (
                session.query(DagModel)
                .filter(DagModel.fileloc == filename)
                .update({"has_import_errors": True}, synchronize_session="fetch")
            )
        session.commit()
    @provide_session
    def _validate_task_pools(self, *, dagbag: DagBag, session: Session = NEW_SESSION):
        """Validate and raise exception if any task in a dag is using a non-existent pool."""
        from airflow.models.pool import Pool
        def check_pools(dag):
            task_pools = {task.pool for task in dag.tasks}
            nonexistent_pools = task_pools - pools
            if nonexistent_pools:
                return f"Dag '{dag.dag_id}' references non-existent pools: {sorted(nonexistent_pools)!r}"
        pools = {p.pool for p in Pool.get_pools(session)}
        for dag in dagbag.dags.values():
            message = check_pools(dag)
            if message:
                self.dag_warnings.add(DagWarning(dag.dag_id, DagWarningType.NONEXISTENT_POOL, message))
            for subdag in dag.subdags:
                message = check_pools(subdag)
                if message:
                    self.dag_warnings.add(DagWarning(subdag.dag_id, DagWarningType.NONEXISTENT_POOL, message))
    def update_dag_warnings(self, *, session: Session, dagbag: DagBag) -> None: