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:
Après avoir triomphé des Sacramento Monarchs, puis des Los Angeles Sparks en finale de Conférence sur le score de deux victoires à une, 76 à 72 lors de la manche décisive.
Postion	Tokenization
1	Après
2	avoir
3	triomphé
4	des
5	de
6	les
7	Sacramento
8	Monarchs
9	,
10	puis
11	des
12	de
13	les
14	Los
15	Angeles
16	Sparks
17	en
18	finale
19	de
20	Conférence
21	sur
22	le
23	score
24	de
25	deux
26	victoires
27	à
28	une
29	,
30	76
31	à
32	72
33	lors
34	de
35	la
36	manche
37	décisive
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	mark
2	avoir	AUX	3	aux:tense
3	triomphé	VERB	0	root
4	des	_	None	_
5	de	ADP	6	case
6	les	DET	6	det
7	Sacramento	PROPN	3	obl:arg
8	Monarchs	PROPN	6	flat:name
9	,	PUNCT	12	punct
10	puis	ADV	12	cc
11	des	_	None	_
12	de	ADP	12	case
13	les	DET	12	det
14	Los	PROPN	6	conj
15	Angeles	PROPN	12	flat:name
16	Sparks	PROPN	13	flat:name
17	en	ADP	16	case
18	finale	NOUN	3	obl:mod
19	de	ADP	18	case
20	Conférence	NOUN	16	nmod
21	sur	ADP	21	case
22	le	DET	21	det
23	score	NOUN	3	obl:mod
24	de	ADP	24	case
25	deux	NUM	24	nummod
26	victoires	NOUN	21	nmod
27	à	ADP	26	case
28	une	NUM	24	nmod
29	,	PUNCT	28	punct
30	76	NUM	21	appos
31	à	ADP	30	case
32	72	NUM	28	nmod
33	lors	ADV	28	advmod
34	de	ADP	34	case
35	la	DET	34	det
36	manche	NOUN	31	obl:arg
37	décisive	ADJ	34	amod
38	.	PUNCT	3	punct