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 coffee shop that has a rating of 1 out of 5 is called The Golden Palace. They have French food for moderate prices. They recently moved to city centre.
Example Output: name[The Golden Palace], eatType[coffee shop], food[French], priceRange[moderate], customer rating[1 out of 5], area[city centre]

Example Input: The Wrestlers provides Indian food in the less than £20 price range. Its customer rating is low.
Example Output: name[The Wrestlers], food[Indian], priceRange[less than £20], customer rating[low], familyFriendly[no]

Example Input: Blue Spice is an Indian restaurant from less than £20.  It is located in the city centre.
Example Output:
name[Blue Spice], food[Indian], priceRange[less than £20], area[city centre]