input: Write a python function to scrape a table from a webpage and extract the second column as a list of cat breeds.
  assert extract_cat_breeds('https://example.com') == ['Breed1', 'Breed2', 'Breed3']
  assert extract_cat_breeds('https://anotherexample.com') == ['BreedA', 'BreedB', 'BreedC']
  assert extract_cat_breeds('https://onemoreexample.com') == ['BreedX', 'BreedY', 'BreedZ']
output: def extract_cat_breeds(url):
      import requests
      from bs4 import BeautifulSoup
  
      response = requests.get(url)
      soup = BeautifulSoup(response.content, 'html.parser')
      table = soup.find('table')  # Assuming there is only one table on the webpage
  
      breeds = []
      for row in table.find_all('tr')[1:]:  # Skipping the header row
          columns = row.find_all('td')
          if len(columns) > 1:
              breeds.append(columns[1].get_text().strip())
  
      return breeds