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: The Phoenix may have an average customer rating, but it is a great high end Italian restaurant located in the city centre.
Example Output: name[The Phoenix], food[Italian], priceRange[high], customer rating[average], area[city centre]

Example Input: There is a non children-friendly coffee shop with a low rating and a price range with more than £30 called Blue Spice and is located in the city centre near Avalon.
Example Output: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no], near[Avalon]

Example Input: The Eagle is an Italian coffee shop in riverside near Burger King with a customer rating of 1 out of 5
Example Output:
name[The Eagle], eatType[coffee shop], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Burger King]