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, malgré sa débauche et son aspect de moins en moins engageant, ses conquêtes féminines furent de plus en plus nombreuses dans la haute société.
Postion	Tokenization
1	Cependant
2	,
3	malgré
4	sa
5	débauche
6	et
7	son
8	aspect
9	de
10	moins
11	en
12	moins
13	engageant
14	,
15	ses
16	conquêtes
17	féminines
18	furent
19	de
20	plus
21	en
22	plus
23	nombreuses
24	dans
25	la
26	haute
27	société
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Cependant	ADV	23	advmod
2	,	PUNCT	1	punct
3	malgré	ADP	5	case
4	sa	DET	5	det
5	débauche	NOUN	23	obl:mod
6	et	CCONJ	8	cc
7	son	DET	8	det
8	aspect	NOUN	5	conj
9	de	ADP	13	advmod
10	moins	ADV	9	fixed
11	en	ADP	9	fixed
12	moins	ADV	9	fixed
13	engageant	ADJ	8	amod
14	,	PUNCT	5	punct
15	ses	DET	16	det
16	conquêtes	NOUN	23	nsubj
17	féminines	ADJ	16	amod
18	furent	AUX	23	cop
19	de	ADP	23	advmod
20	plus	ADV	19	fixed
21	en	ADP	19	fixed
22	plus	ADV	19	fixed
23	nombreuses	ADJ	0	root
24	dans	ADP	27	case
25	la	DET	27	det
26	haute	ADJ	27	amod
27	société	NOUN	23	obl:mod
28	.	PUNCT	23	punct