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:
Cependant, ils ne fournissent que 897 emplois aux 1300 actifs de la commune : plus de 400 Ligugéens vont travailler hors de la commune (2007).
Postion	Tokenization
1	Cependant
2	,
3	ils
4	ne
5	fournissent
6	que
7	897
8	emplois
9	aux
10	à
11	les
12	1300
13	actifs
14	de
15	la
16	commune
17	:
18	plus
19	de
20	400
21	Ligugéens
22	vont
23	travailler
24	hors
25	de
26	la
27	commune
28	(
29	2007
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Cependant	ADV	5	advmod
2	,	PUNCT	1	punct
3	ils	PRON	5	nsubj
4	ne	ADV	5	advmod
5	fournissent	VERB	0	root
6	que	ADV	8	advmod
7	897	NUM	8	nummod
8	emplois	NOUN	5	obj
9	aux	_	None	_
10	à	ADP	12	case
11	les	DET	12	det
12	1300	NUM	12	nummod
13	actifs	NOUN	5	obl:arg
14	de	ADP	15	case
15	la	DET	15	det
16	commune	NOUN	12	nmod
17	:	PUNCT	21	punct
18	plus	ADV	21	nsubj
19	de	ADP	20	case
20	400	NUM	20	nummod
21	Ligugéens	NOUN	17	dep:comp
22	vont	VERB	5	parataxis
23	travailler	VERB	21	xcomp:obj
24	hors	ADV	22	advmod
25	de	ADP	26	case
26	la	DET	26	det
27	commune	NOUN	23	obj
28	(	PUNCT	28	punct
29	2007	NUM	22	obl:mod
30	)	PUNCT	28	punct
31	.	PUNCT	5	punct