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 centre de population le plus important de la commune est le gros hameau du Cluzeau, situé à environ un kilomètre au sud du bourg.
Postion	Tokenization
1	Le
2	centre
3	de
4	population
5	le
6	plus
7	important
8	de
9	la
10	commune
11	est
12	le
13	gros
14	hameau
15	du
16	de
17	le
18	Cluzeau
19	,
20	situé
21	à
22	environ
23	un
24	kilomètre
25	au
26	à
27	le
28	sud
29	du
30	de
31	le
32	bourg
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	centre	NOUN	14	nsubj
3	de	ADP	4	case
4	population	NOUN	2	nmod
5	le	DET	7	advmod
6	plus	ADV	5	fixed
7	important	ADJ	2	amod
8	de	ADP	10	case
9	la	DET	10	det
10	commune	NOUN	2	nmod
11	est	AUX	14	cop
12	le	DET	14	det
13	gros	ADJ	14	amod
14	hameau	NOUN	0	root
15	du	_	None	_
16	de	ADP	17	case
17	le	DET	17	det
18	Cluzeau	PROPN	14	nmod
19	,	PUNCT	19	punct
20	situé	VERB	14	acl
21	à	ADP	23	case
22	environ	ADV	22	advmod
23	un	NUM	23	nummod
24	kilomètre	NOUN	19	obl:arg
25	au	_	None	_
26	à	ADP	26	case
27	le	DET	26	det
28	sud	NOUN	19	obl:mod
29	du	_	None	_
30	de	ADP	29	case
31	le	DET	29	det
32	bourg	NOUN	26	nmod
33	.	PUNCT	14	punct