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:
this dentist want to pull the tooth out always.. always wants to do the cheapest for his benefit.. not unless he knows you.
Postion	Tokenization
1	this
2	dentist
3	want
4	to
5	pull
6	the
7	tooth
8	out
9	always
10	..
11	always
12	wants
13	to
14	do
15	the
16	cheapest
17	for
18	his
19	benefit
20	..
21	not
22	unless
23	he
24	knows
25	you
26	.
Position	Tokenization	UPOS	Head	Deprel
1	this	DET	2	det
2	dentist	NOUN	3	nsubj
3	want	VERB	0	root
4	to	PART	5	mark
5	pull	VERB	3	xcomp
6	the	DET	7	det
7	tooth	NOUN	5	obj
8	out	ADV	5	advmod
9	always	ADV	3	advmod
10	..	PUNCT	3	punct
11	always	ADV	12	advmod
12	wants	VERB	3	parataxis
13	to	PART	14	mark
14	do	VERB	12	xcomp
15	the	DET	16	det
16	cheapest	ADJ	14	obj
17	for	ADP	19	case
18	his	PRON	19	nmod:poss
19	benefit	NOUN	14	obl
20	..	PUNCT	21	punct
21	not	PART	24	advmod
22	unless	SCONJ	24	mark
23	he	PRON	24	nsubj
24	knows	VERB	3	parataxis
25	you	PRON	24	obj
26	.	PUNCT	21	punct