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:
Passé professionnel en 1962, il remporte le titre vacant de champion du monde des poids super-plumes WBC le 15 février 1969 après sa victoire aux points contre Ruben Navarro.
Postion	Tokenization
1	Passé
2	professionnel
3	en
4	1962
5	,
6	il
7	remporte
8	le
9	titre
10	vacant
11	de
12	champion
13	du
14	de
15	le
16	monde
17	des
18	de
19	les
20	poids
21	super-plumes
22	WBC
23	le
24	15
25	février
26	1969
27	après
28	sa
29	victoire
30	aux
31	à
32	les
33	points
34	contre
35	Ruben
36	Navarro
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Passé	VERB	7	advcl
2	professionnel	NOUN	1	xcomp:pred
3	en	ADP	4	case
4	1962	NUM	1	obl:mod
5	,	PUNCT	1	punct
6	il	PRON	7	nsubj
7	remporte	VERB	0	root
8	le	DET	9	det
9	titre	NOUN	7	obj
10	vacant	ADJ	9	amod
11	de	ADP	12	case
12	champion	NOUN	9	nmod
13	du	_	None	_
14	de	ADP	15	case
15	le	DET	15	det
16	monde	NOUN	12	nmod
17	des	_	None	_
18	de	ADP	18	case
19	les	DET	18	det
20	poids	NOUN	12	nmod
21	super-plumes	NOUN	18	nmod
22	WBC	PROPN	9	appos
23	le	DET	22	det
24	15	NUM	7	obl:mod
25	février	NOUN	22	nmod
26	1969	NUM	23	nmod
27	après	ADP	27	case
28	sa	DET	27	det
29	victoire	NOUN	7	obl:mod
30	aux	_	None	_
31	à	ADP	30	case
32	les	DET	30	det
33	points	NOUN	27	nmod
34	contre	ADP	32	case
35	Ruben	PROPN	27	nmod
36	Navarro	PROPN	32	flat:name
37	.	PUNCT	7	punct