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:
Le vêtement donne à l'homme sa position sociale, il lui donne sa place dans la société, il le fait être quelqu'un.
Postion	Tokenization
1	Le
2	vêtement
3	donne
4	à
5	l'
6	homme
7	sa
8	position
9	sociale
10	,
11	il
12	lui
13	donne
14	sa
15	place
16	dans
17	la
18	société
19	,
20	il
21	le
22	fait
23	être
24	quelqu'un
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	vêtement	NOUN	3	nsubj
3	donne	VERB	0	root
4	à	ADP	6	case
5	l'	DET	6	det
6	homme	NOUN	3	obl:arg
7	sa	DET	8	det
8	position	NOUN	3	obj
9	sociale	ADJ	8	amod
10	,	PUNCT	13	punct
11	il	PRON	13	nsubj
12	lui	PRON	13	obl:arg
13	donne	VERB	3	conj
14	sa	DET	15	det
15	place	NOUN	13	obj
16	dans	ADP	18	case
17	la	DET	18	det
18	société	NOUN	13	obl:mod
19	,	PUNCT	22	punct
20	il	PRON	22	nsubj
21	le	PRON	22	obj
22	fait	VERB	3	conj
23	être	AUX	24	cop
24	quelqu'un	PRON	22	xcomp:obj
25	.	PUNCT	3	punct