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:
Carlos Baráibar (né en 1939 à Montevideo, Uruguay) est un sénateur uruguayen, élu sur les listes du Front large (tendance centriste, Front Líber Seregni).
Postion	Tokenization
1	Carlos
2	Baráibar
3	(
4	né
5	en
6	1939
7	à
8	Montevideo
9	,
10	Uruguay
11	)
12	est
13	un
14	sénateur
15	uruguayen
16	,
17	élu
18	sur
19	les
20	listes
21	du
22	de
23	le
24	Front
25	large
26	(
27	tendance
28	centriste
29	,
30	Front
31	Líber
32	Seregni
33	)
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Carlos	PROPN	14	nsubj
2	Baráibar	PROPN	1	flat:name
3	(	PUNCT	4	punct
4	né	VERB	1	acl
5	en	ADP	6	case
6	1939	NUM	4	obl:arg
7	à	ADP	8	case
8	Montevideo	PROPN	4	obl:arg
9	,	PUNCT	10	punct
10	Uruguay	PROPN	8	nmod
11	)	PUNCT	4	punct
12	est	AUX	14	cop
13	un	DET	14	det
14	sénateur	NOUN	0	root
15	uruguayen	ADJ	14	amod
16	,	PUNCT	17	punct
17	élu	VERB	14	acl
18	sur	ADP	20	case
19	les	DET	20	det
20	listes	NOUN	17	obl:mod
21	du	_	None	_
22	de	ADP	23	case
23	le	DET	23	det
24	Front	NOUN	20	nmod
25	large	ADJ	23	amod
26	(	PUNCT	26	punct
27	tendance	NOUN	23	appos
28	centriste	ADJ	26	amod
29	,	PUNCT	29	punct
30	Front	NOUN	26	appos
31	Líber	PROPN	29	appos
32	Seregni	PROPN	30	flat:name
33	)	PUNCT	26	punct
34	.	PUNCT	14	punct