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.

Input: Consider Input: Browns Cambridge in the city centre near Crowne Plaza Hotel is a family-friendly, fast food and coffee shop with a customer rating of 5 out of 5.

Output: name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]


Input: Consider Input: The Phoenix may have an average customer rating, but it is a great high end Italian restaurant located in the city centre.

Output: name[The Phoenix], food[Italian], priceRange[high], customer rating[average], area[city centre]


Input: Consider Input: Fitzbillies is a one star coffee shop located next to the river. It's mid-level price and family friendly place.


Output: name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes]