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: For a pricey pub serving Indian, look for The Olive Grove in the city centre. please note, this venue is not child friendly.
Example Output: name[The Olive Grove], eatType[pub], food[Indian], priceRange[high], area[city centre], familyFriendly[no]

Example Input: Strada is a pub located near of Yippee Noodle Bar.
Example Output: name[Strada], eatType[pub], food[English], customer rating[1 out of 5], near[Yippee Noodle Bar]

Example Input: The Phoenix is an expensive Chinese restaurant in the city centre. It has a poor customer rating.
Example Output:
name[The Phoenix], food[Chinese], priceRange[high], customer rating[1 out of 5], area[city centre]