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 bilan est favorable à Bruges, qui a remporté 31 des 69 derbies disputés à ce jour, contre seulement 14 pour Anderlecht.
Postion	Tokenization
1	Le
2	bilan
3	est
4	favorable
5	à
6	Bruges
7	,
8	qui
9	a
10	remporté
11	31
12	des
13	de
14	les
15	69
16	derbies
17	disputés
18	à
19	ce
20	jour
21	,
22	contre
23	seulement
24	14
25	pour
26	Anderlecht
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	bilan	NOUN	4	nsubj
3	est	AUX	4	cop
4	favorable	ADJ	0	root
5	à	ADP	6	case
6	Bruges	PROPN	4	obl:arg
7	,	PUNCT	10	punct
8	qui	PRON	10	nsubj
9	a	AUX	10	aux:tense
10	remporté	VERB	6	acl:relcl
11	31	NUM	10	obj
12	des	_	None	_
13	de	ADP	15	case
14	les	DET	15	det
15	69	NUM	15	nummod
16	derbies	NOUN	11	nmod
17	disputés	VERB	15	acl
18	à	ADP	19	case
19	ce	DET	19	det
20	jour	NOUN	16	obl:mod
21	,	PUNCT	23	punct
22	contre	ADP	23	case
23	seulement	ADV	23	advmod
24	14	NUM	11	nmod
25	pour	ADP	25	case
26	Anderlecht	PROPN	23	nmod
27	.	PUNCT	4	punct