As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
The waiting staff is really friendly, its like every one knows each other, the manager is really sweet and the food..well no complaints from me.
Postion	Tokenization
1	The
2	waiting
3	staff
4	is
5	really
6	friendly
7	,
8	its
9	it
10	s
11	like
12	every
13	one
14	knows
15	each
16	other
17	,
18	the
19	manager
20	is
21	really
22	sweet
23	and
24	the
25	food
26	..
27	well
28	no
29	complaints
30	from
31	me
32	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	waiting	NOUN	3	compound
3	staff	NOUN	6	nsubj
4	is	AUX	6	cop
5	really	ADV	6	advmod
6	friendly	ADJ	0	root
7	,	PUNCT	6	punct
8	its	_	None	_
9	it	PRON	9	nsubj
10	s	VERB	6	parataxis
11	like	SCONJ	13	mark
12	every	DET	12	det
13	one	NOUN	13	nsubj
14	knows	VERB	9	ccomp
15	each	DET	15	det
16	other	ADJ	13	obj
17	,	PUNCT	6	punct
18	the	DET	18	det
19	manager	NOUN	21	nsubj
20	is	AUX	21	cop
21	really	ADV	21	advmod
22	sweet	ADJ	6	parataxis
23	and	CCONJ	24	cc
24	the	DET	24	det
25	food	NOUN	21	conj
26	..	PUNCT	24	punct
27	well	INTJ	24	discourse
28	no	DET	28	det
29	complaints	NOUN	24	parataxis
30	from	ADP	30	case
31	me	PRON	28	nmod
32	.	PUNCT	6	punct