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 Conseil Municipal de Chaumot n'est alors pas allé là contre (puisque déjà en désaccord avec le Legs Thénard), au mécontentement de certains habitants.
Postion	Tokenization
1	Le
2	Conseil
3	Municipal
4	de
5	Chaumot
6	n'
7	est
8	alors
9	pas
10	allé
11	là
12	contre
13	(
14	puisque
15	déjà
16	en
17	désaccord
18	avec
19	le
20	Legs
21	Thénard
22	)
23	,
24	au
25	à
26	le
27	mécontentement
28	de
29	certains
30	habitants
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	Conseil	NOUN	10	nsubj
3	Municipal	ADJ	2	amod
4	de	ADP	5	case
5	Chaumot	PROPN	2	nmod
6	n'	ADV	10	advmod
7	est	AUX	10	aux:tense
8	alors	ADV	10	advmod
9	pas	ADV	10	advmod
10	allé	VERB	0	root
11	là	ADV	10	advmod
12	contre	ADV	10	obl:arg
13	(	PUNCT	17	punct
14	puisque	SCONJ	17	mark
15	déjà	ADV	17	advmod
16	en	ADP	17	case
17	désaccord	NOUN	10	advcl
18	avec	ADP	20	case
19	le	DET	20	det
20	Legs	PROPN	17	nmod
21	Thénard	PROPN	20	appos
22	)	PUNCT	17	punct
23	,	PUNCT	26	punct
24	au	_	None	_
25	à	ADP	26	case
26	le	DET	26	det
27	mécontentement	NOUN	10	conj
28	de	ADP	29	case
29	certains	DET	29	det
30	habitants	NOUN	26	nmod
31	.	PUNCT	10	punct