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:
Dans le groupe des hommes de 50-54 ans, la prévalence des adénomes était de 18,5% contre 10,7% chez les femmes dans la même tranche d'âge.
Postion	Tokenization
1	Dans
2	le
3	groupe
4	des
5	de
6	les
7	hommes
8	de
9	50-54
10	ans
11	,
12	la
13	prévalence
14	des
15	de
16	les
17	adénomes
18	était
19	de
20	18,5
21	%
22	contre
23	10,7
24	%
25	chez
26	les
27	femmes
28	dans
29	la
30	même
31	tranche
32	d'
33	âge
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Dans	ADP	3	case
2	le	DET	3	det
3	groupe	NOUN	19	obl:mod
4	des	_	None	_
5	de	ADP	6	case
6	les	DET	6	det
7	hommes	NOUN	3	nmod
8	de	ADP	9	case
9	50-54	NUM	9	nummod
10	ans	NOUN	6	nmod
11	,	PUNCT	3	punct
12	la	DET	12	det
13	prévalence	NOUN	19	nsubj
14	des	_	None	_
15	de	ADP	15	case
16	les	DET	15	det
17	adénomes	NOUN	12	nmod
18	était	AUX	19	cop
19	de	ADP	19	case
20	18,5	NUM	19	nummod
21	%	SYM	0	root
22	contre	ADP	22	case
23	10,7	NUM	22	nummod
24	%	SYM	19	nmod
25	chez	ADP	25	case
26	les	DET	25	det
27	femmes	NOUN	22	nmod
28	dans	ADP	29	case
29	la	DET	29	det
30	même	ADJ	29	amod
31	tranche	NOUN	25	nmod
32	d'	ADP	31	case
33	âge	NOUN	29	nmod
34	.	PUNCT	19	punct