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:
Michel Debré, alors garde des Sceaux et futur premier ministre, qui coordonne les travaux, est un ancien conseiller d'État, tout comme Georges Pompidou, son successeur à Matignon.
Postion	Tokenization
1	Michel
2	Debré
3	,
4	alors
5	garde
6	des
7	de
8	les
9	Sceaux
10	et
11	futur
12	premier
13	ministre
14	,
15	qui
16	coordonne
17	les
18	travaux
19	,
20	est
21	un
22	ancien
23	conseiller
24	d'
25	État
26	,
27	tout
28	comme
29	Georges
30	Pompidou
31	,
32	son
33	successeur
34	à
35	Matignon
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Michel	PROPN	22	nsubj
2	Debré	PROPN	1	flat:name
3	,	PUNCT	5	punct
4	alors	ADV	5	advmod
5	garde	NOUN	1	appos
6	des	_	None	_
7	de	ADP	8	case
8	les	DET	8	det
9	Sceaux	NOUN	5	nmod
10	et	CCONJ	12	cc
11	futur	ADJ	12	amod
12	premier	ADJ	12	amod
13	ministre	NOUN	5	conj
14	,	PUNCT	15	punct
15	qui	PRON	15	nsubj
16	coordonne	VERB	1	acl:relcl
17	les	DET	17	det
18	travaux	NOUN	15	obj
19	,	PUNCT	15	punct
20	est	AUX	22	cop
21	un	DET	22	det
22	ancien	ADJ	22	amod
23	conseiller	NOUN	0	root
24	d'	ADP	24	case
25	État	NOUN	22	nmod
26	,	PUNCT	28	punct
27	tout	ADV	28	advmod
28	comme	ADP	28	case
29	Georges	PROPN	22	nmod
30	Pompidou	PROPN	28	flat:name
31	,	PUNCT	32	punct
32	son	DET	32	det
33	successeur	NOUN	28	appos
34	à	ADP	34	case
35	Matignon	PROPN	32	nmod
36	.	PUNCT	22	punct