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: Cheap English food can be found at the family Friendly restaurant The Wrestlers. Its customer Rating is 5 out of 5.
Example Output: name[The Wrestlers], food[English], priceRange[cheap], customer rating[5 out of 5], familyFriendly[yes]

Example Input: The Phoenix is a fast food restaurant in the city centre.  Customers rated it 3 out of 5 and it is moderately priced.
Example Output: name[The Phoenix], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[city centre]

Example Input: If looking for a moderately priced 1 out of 5 star restaurant near the riverside, Travellers Rest Beefeater is a good option - located near Café Adriatic.
Example Output:
name[Travellers Rest Beefeater], priceRange[moderate], customer rating[1 out of 5], area[riverside], near[Café Adriatic]