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:
La clientèle se dégrada du tout au tout au fil des années et le Wauxhall attira de plus en plus des gens peu recommandables et des femmes de mœurs légères.
Postion	Tokenization
1	La
2	clientèle
3	se
4	dégrada
5	du
6	de
7	le
8	tout
9	au
10	à
11	le
12	tout
13	au
14	à
15	le
16	fil
17	des
18	de
19	les
20	années
21	et
22	le
23	Wauxhall
24	attira
25	de
26	plus
27	en
28	plus
29	des
30	gens
31	peu
32	recommandables
33	et
34	des
35	femmes
36	de
37	mœurs
38	légères
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	clientèle	NOUN	4	nsubj
3	se	PRON	4	dep:comp
4	dégrada	VERB	0	root
5	du	_	None	_
6	de	ADP	4	advmod
7	le	DET	5	fixed
8	tout	PRON	5	fixed
9	au	_	None	_
10	à	ADP	5	fixed
11	le	DET	5	fixed
12	tout	PRON	5	fixed
13	au	_	None	_
14	à	ADP	13	case
15	le	DET	13	det
16	fil	NOUN	4	obl:mod
17	des	_	None	_
18	de	ADP	16	case
19	les	DET	16	det
20	années	NOUN	13	nmod
21	et	CCONJ	20	cc
22	le	DET	19	det
23	Wauxhall	PROPN	20	nsubj
24	attira	VERB	4	conj
25	de	ADP	20	advmod
26	plus	ADV	21	fixed
27	en	ADP	21	fixed
28	plus	ADV	21	fixed
29	des	DET	26	det
30	gens	NOUN	20	obj
31	peu	ADV	28	advmod
32	recommandables	ADJ	26	amod
33	et	CCONJ	31	cc
34	des	DET	31	det
35	femmes	NOUN	26	conj
36	de	ADP	33	case
37	mœurs	NOUN	31	nmod
38	légères	ADJ	33	amod
39	.	PUNCT	4	punct