In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

Example Input: A pub that is not children friendly is Cocum. The customer rating is 5 out of 5 and the price range is more than 30.
Example Output: name[Cocum], eatType[pub], priceRange[more than £30], customer rating[5 out of 5], familyFriendly[no]

Example Input: Zizzi is an expensive, non-child friendly coffee shop in the city centre with a price range exceeding £30 and has a low customer rating.
Example Output: name[Zizzi], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no]

Example Input: The Golden Curry is near Café Rouge with will serve you with some lovely Italian food with in the city center with a rating of 5 out of 5 stars. no children please.
Example Output:
name[The Golden Curry], food[Italian], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Café Rouge]