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:
Il remportera les titres NBA 1996 et 1997, bien que n'étant pas sur la liste des joueurs actifs lors des playoffs ces deux années.
Postion	Tokenization
1	Il
2	remportera
3	les
4	titres
5	NBA
6	1996
7	et
8	1997
9	,
10	bien
11	que
12	n'
13	étant
14	pas
15	sur
16	la
17	liste
18	des
19	de
20	les
21	joueurs
22	actifs
23	lors
24	des
25	de
26	les
27	playoffs
28	ces
29	deux
30	années
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	remportera	VERB	0	root
3	les	DET	4	det
4	titres	NOUN	2	obj
5	NBA	X	4	appos
6	1996	NUM	4	nmod
7	et	CCONJ	8	cc
8	1997	NUM	6	conj
9	,	PUNCT	13	punct
10	bien	ADV	13	mark
11	que	SCONJ	10	fixed
12	n'	ADV	13	advmod
13	étant	VERB	2	advcl
14	pas	ADV	13	advmod
15	sur	ADP	17	case
16	la	DET	17	det
17	liste	NOUN	13	obl:mod
18	des	_	None	_
19	de	ADP	20	case
20	les	DET	20	det
21	joueurs	NOUN	17	nmod
22	actifs	ADJ	20	amod
23	lors	ADV	13	advmod
24	des	_	None	_
25	de	ADP	25	case
26	les	DET	25	det
27	playoffs	NOUN	22	obl:arg
28	ces	DET	28	det
29	deux	NUM	28	nummod
30	années	NOUN	13	obl:mod
31	.	PUNCT	2	punct