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:
L'ancienneté moyenne du diabète est estimée à 12 ans et 92% des patients ont un diabète de type 2, dont 54% d'hommes.
Postion	Tokenization
1	L'
2	ancienneté
3	moyenne
4	du
5	de
6	le
7	diabète
8	est
9	estimée
10	à
11	12
12	ans
13	et
14	92
15	%
16	des
17	de
18	les
19	patients
20	ont
21	un
22	diabète
23	de
24	type
25	2
26	,
27	dont
28	54
29	%
30	d'
31	hommes
32	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	ancienneté	NOUN	8	nsubj
3	moyenne	ADJ	2	amod
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	diabète	NOUN	2	nmod
8	est	AUX	8	aux:tense
9	estimée	VERB	0	root
10	à	ADP	11	case
11	12	NUM	11	nummod
12	ans	NOUN	8	obl:arg
13	et	CCONJ	18	cc
14	92	NUM	14	nummod
15	%	SYM	18	nsubj
16	des	_	None	_
17	de	ADP	17	case
18	les	DET	17	det
19	patients	NOUN	14	nmod
20	ont	VERB	8	conj
21	un	DET	20	det
22	diabète	NOUN	18	obj
23	de	ADP	22	case
24	type	NOUN	20	nmod
25	2	NUM	22	nmod
26	,	PUNCT	27	punct
27	dont	PRON	27	nmod
28	54	NUM	27	nummod
29	%	SYM	14	acl:relcl
30	d'	ADP	29	case
31	hommes	NOUN	27	nmod
32	.	PUNCT	8	punct