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 de l'épuration judiciaire n'est pas aussi précis que nous aurions pu l'espérer, la Libération ne favorise pas la bonne tenue des archives.
Postion	Tokenization
1	Le
2	bilan
3	de
4	l'
5	épuration
6	judiciaire
7	n'
8	est
9	pas
10	aussi
11	précis
12	que
13	nous
14	aurions
15	pu
16	l'
17	espérer
18	,
19	la
20	Libération
21	ne
22	favorise
23	pas
24	la
25	bonne
26	tenue
27	des
28	de
29	les
30	archives
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	bilan	NOUN	11	nsubj
3	de	ADP	5	case
4	l'	DET	5	det
5	épuration	NOUN	2	nmod
6	judiciaire	ADJ	5	amod
7	n'	ADV	11	advmod
8	est	AUX	11	cop
9	pas	ADV	11	advmod
10	aussi	ADV	11	advmod
11	précis	ADJ	0	root
12	que	SCONJ	15	mark
13	nous	PRON	15	nsubj
14	aurions	AUX	15	aux:tense
15	pu	VERB	10	ccomp:obj
16	l'	PRON	17	obj
17	espérer	VERB	15	xcomp:obj
18	,	PUNCT	22	punct
19	la	DET	20	det
20	Libération	PROPN	22	nsubj
21	ne	ADV	22	advmod
22	favorise	VERB	11	conj
23	pas	ADV	22	advmod
24	la	DET	26	det
25	bonne	ADJ	26	amod
26	tenue	NOUN	22	obj
27	des	_	None	_
28	de	ADP	29	case
29	les	DET	29	det
30	archives	NOUN	26	nmod
31	.	PUNCT	11	punct