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:
Guillaume Sarkozy, frère aîné du Président, assureur de son état, bénéficierait du soutien indirect de Nicolas pour croquer le gâteau de la retraite par capitalisation, selon le site Mediapart.
Postion	Tokenization
1	Guillaume
2	Sarkozy
3	,
4	frère
5	aîné
6	du
7	de
8	le
9	Président
10	,
11	assureur
12	de
13	son
14	état
15	,
16	bénéficierait
17	du
18	de
19	le
20	soutien
21	indirect
22	de
23	Nicolas
24	pour
25	croquer
26	le
27	gâteau
28	de
29	la
30	retraite
31	par
32	capitalisation
33	,
34	selon
35	le
36	site
37	Mediapart
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Guillaume	PROPN	15	nsubj
2	Sarkozy	PROPN	1	flat:name
3	,	PUNCT	4	punct
4	frère	NOUN	1	appos
5	aîné	ADJ	4	amod
6	du	_	None	_
7	de	ADP	8	case
8	le	DET	8	det
9	Président	NOUN	4	nmod
10	,	PUNCT	10	punct
11	assureur	NOUN	1	appos
12	de	ADP	13	case
13	son	DET	13	det
14	état	NOUN	10	nmod
15	,	PUNCT	10	punct
16	bénéficierait	VERB	0	root
17	du	_	None	_
18	de	ADP	18	case
19	le	DET	18	det
20	soutien	NOUN	15	obl:arg
21	indirect	ADJ	18	amod
22	de	ADP	21	case
23	Nicolas	PROPN	18	nmod
24	pour	ADP	23	mark
25	croquer	VERB	18	acl
26	le	DET	25	det
27	gâteau	NOUN	23	obj
28	de	ADP	28	case
29	la	DET	28	det
30	retraite	NOUN	25	nmod
31	par	ADP	30	case
32	capitalisation	NOUN	28	nmod
33	,	PUNCT	34	punct
34	selon	ADP	34	case
35	le	DET	34	det
36	site	NOUN	15	obl:mod
37	Mediapart	PROPN	34	appos
38	.	PUNCT	15	punct