**Describe the unexpected behaviour**
Clickhouse does not support parquet with 'large_utf8' columns (only 'utf8'). From my understanding, the only difference is offsets are u64 in 'large_utf8' instead of u32

**How to reproduce**

```
import pyarrow
import pyarrow.parquet
import subprocess


for schema in (None,pyarrow.schema({"a": pyarrow.large_utf8()})):
    a = pyarrow.table({"a": ["00000"]}, schema=schema)
    pyarrow.parquet.write_table(a, "test.parquet")
    subprocess.run(
        """cat test.parquet | clickhouse local \
            --input-format "Parquet" \
            --structure "a String" \
            --query "select * from table"\
        """,
        shell=True,
        check=True,
    )

```
gives
```
00000
Code: 50. DB::Exception: Unsupported Parquet type 'large_utf8' of an input column 'a'.: While executing ParquetBlockInputFormat: While executing File. (UNKNOWN_TYPE)
```



namespace ErrorCodes
{
    extern const int UNKNOWN_TYPE;
    extern const int VALUE_IS_OUT_OF_RANGE_OF_DATA_TYPE;
    extern const int BAD_ARGUMENTS;
    extern const int DUPLICATE_COLUMN;
    extern const int THERE_IS_NO_COLUMN;
    extern const int UNKNOWN_EXCEPTION;
    extern const int INCORRECT_NUMBER_OF_COLUMNS;
}
template <typename NumericType, typename VectorType = ColumnVector<NumericType>>
static ColumnWithTypeAndName readColumnWithNumericData(std::shared_ptr<arrow::ChunkedArray> & arrow_column, const String & column_name)
{
    auto internal_type = std::make_shared<DataTypeNumber<NumericType>>();
    auto internal_column = internal_type->createColumn();
    auto & column_data = static_cast<VectorType &>(*internal_column).getData();
    column_data.reserve(arrow_column->length());
    for (size_t chunk_i = 0, num_chunks = static_cast<size_t>(arrow_column->num_chunks()); chunk_i < num_chunks; ++chunk_i)
    {
        std::shared_ptr<arrow::Array> chunk = arrow_column->chunk(chunk_i);
        if (chunk->length() == 0)
            continue;
        
        std::shared_ptr<arrow::Buffer> buffer = chunk->data()->buffers[1];
        const auto * raw_data = reinterpret_cast<const NumericType *>(buffer->data());
        column_data.insert_assume_reserved(raw_data, raw_data + chunk->length());
    }
    return {std::move(internal_column), std::move(internal_type), column_name};
}
static ColumnWithTypeAndName readColumnWithStringData(std::shared_ptr<arrow::ChunkedArray> & arrow_column, const String & column_name)