Writing to a cross-environment bucket requires CreateBucket permission

similar to #451, writing to a cross-account bucket tries to create the bucket which leads to an Access Denied error when the process doesn't have a CreateBucket permission. Because the least privilege is the best practice, this can happen in production for most of the cross-account s3 access. here's the stack trace:

>>> import pandas as pd
>>> import boto3
>>> import s3fs
>>> pd.__version__
'1.3.5'
>>> boto3.__version__
'1.21.21'
>>> s3fs.__version__
'2022.3.0'
>>> df = pd.DataFrame(range(10))
>>> df.to_csv('s3://d1g1t-dataloader-us/test1.txt', storage_options={"s3_additional_kwargs": {"ACL": "bucket-owner-full-control"}})
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/dist-packages/s3fs/core.py", line 282, in _call_s3
    out = await method(**additional_kwargs)
  File "/usr/local/lib/python3.8/dist-packages/aiobotocore/client.py", line 228, in _make_api_call
    raise error_class(parsed_response, operation_name)
botocore.exceptions.ClientError: An error occurred (AccessDenied) when calling the CreateBucket operation: Access Denied

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py", line 3466, in to_csv
    return DataFrameRenderer(formatter).to_csv(
  File "/usr/local/lib/python3.8/dist-packages/pandas/io/formats/format.py", line 1105, in to_csv
    csv_formatter.save()
  File "/usr/local/lib/python3.8/dist-packages/pandas/io/formats/csvs.py", line 237, in save
    with get_handle(
  File "/usr/local/lib/python3.8/dist-packages/pandas/io/common.py", line 609, in get_handle
    ioargs = _get_filepath_or_buffer(
  File "/usr/local/lib/python3.8/dist-packages/pandas/io/common.py", line 369, in _get_filepath_or_buffer
    file_obj = fsspec.open(
  File "/usr/local/lib/python3.8/dist-packages/fsspec/core.py", line 462, in open
    return open_files(
  File "/usr/local/lib/python3.8/dist-packages/fsspec/core.py", line 305, in open_files
    [fs.makedirs(parent, exist_ok=True) for parent in parents]
  File "/usr/local/lib/python3.8/dist-packages/fsspec/core.py", line 305, in <listcomp>
    [fs.makedirs(parent, exist_ok=True) for parent in parents]
  File "/usr/local/lib/python3.8/dist-packages/fsspec/asyn.py", line 85, in wrapper
    return sync(self.loop, func, *args, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/fsspec/asyn.py", line 65, in sync
    raise return_result
  File "/usr/local/lib/python3.8/dist-packages/fsspec/asyn.py", line 25, in _runner
    result[0] = await coro
  File "/usr/local/lib/python3.8/dist-packages/s3fs/core.py", line 767, in _makedirs
    await self._mkdir(path, create_parents=True)
  File "/usr/local/lib/python3.8/dist-packages/s3fs/core.py", line 752, in _mkdir
    await self._call_s3("create_bucket", **params)
  File "/usr/local/lib/python3.8/dist-packages/s3fs/core.py", line 302, in _call_s3
    raise err
PermissionError: Access Denied

Reproduce the shown pandas-to-S3 call with the listed pandas, boto3, and s3fs versions, then inspect s3fs/core.py at _makedirs, _mkdir, and _call_s3. Compare the behavior with related issue #451 and verify that writing to an existing cross-account bucket no longer requires CreateBucket permission.