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: Browns Cambridge provides Chinese food in the high price range. Its customer rating is 1 out of 5.
Example Output: name[Browns Cambridge], food[Chinese], priceRange[high], customer rating[1 out of 5]

Example Input: The coffee shop, The Punter, is a high priced shop located near Café Sicilia offering French food.  While children-friendly, customers have only given this location a 3 out of 5 rating.
Example Output: name[The Punter], eatType[coffee shop], food[French], priceRange[high], customer rating[3 out of 5], familyFriendly[yes], near[Café Sicilia]

Example Input: Blue Spice is in the city centre. It has low ratings and is not family-friendly. its price range is less than £20.
Example Output:
name[Blue Spice], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[no]