Unable to send to sentry unhandled exceptions from pyspark jobs.

Hi, I followed this documentation (https://docs.sentry.io/platforms/python/guides/pyspark/) and I was not able to send to sentry unhandled exceptions.

I was only able to do it using the capture_event and capture_exception methods, but for that, I have to capture any exception first.

Also, the implementation of the daemon as described in the documentation seems not to have any effect.

Python code below works as expected: Exception Sentry Poc Test is unhandled and it is sent to Sentry executing it from a windows local environment.
```
if __name__ == __main__:

sentry_sdk.init("SENTRY_DSN",
integrations=[SparkIntegration()])

raise Exception("Sentry Poc Test")
```

For Pyspark, the only way I found is handling the exception. This is deployed to the cluster using dbx and sentry-sdk dependencies are correctly deployed:

```
try:
my_function(*args, **kwargs)
except Exception as err:
message = f"An exception occurred"
with sentry_sdk.push_scope() as scope:
exc_info = exc_info_from_error(err)
exceptions = exceptions_from_error_tuple(exc_info)
scope.set_extra("exception", exceptions)

sentry_sdk.capture_event({
"message": message,
"level": "error",
"exception": {
"values": exceptions
},
})
raise
```

Am I missing something?, could you please advise me on how I should implement this to be able to send to sentry unhandled exceptions from pyspark? Thanks