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:
Suite à l'obtention de son diplôme en septembre 2001, Thomas Pesquet travaille en tant qu'analyste de mission chez GMV S.A. à Madrid, Espagne, notamment sur les calculs de trajectoire de la mission Cosmo-Skymed.
Postion	Tokenization
1	Suite
2	à
3	l'
4	obtention
5	de
6	son
7	diplôme
8	en
9	septembre
10	2001
11	,
12	Thomas
13	Pesquet
14	travaille
15	en
16	tant
17	qu'
18	analyste
19	de
20	mission
21	chez
22	GMV
23	S.A.
24	à
25	Madrid
26	,
27	Espagne
28	,
29	notamment
30	sur
31	les
32	calculs
33	de
34	trajectoire
35	de
36	la
37	mission
38	Cosmo-Skymed
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Suite	NOUN	4	case
2	à	ADP	1	fixed
3	l'	DET	4	det
4	obtention	NOUN	14	obl:mod
5	de	ADP	7	case
6	son	DET	7	det
7	diplôme	NOUN	4	nmod
8	en	ADP	9	case
9	septembre	NOUN	4	nmod
10	2001	NUM	9	nmod
11	,	PUNCT	4	punct
12	Thomas	PROPN	14	nsubj
13	Pesquet	PROPN	12	flat:name
14	travaille	VERB	0	root
15	en	ADP	18	case
16	tant	ADV	15	fixed
17	qu'	SCONJ	15	fixed
18	analyste	NOUN	14	obl:mod
19	de	ADP	20	case
20	mission	NOUN	18	nmod
21	chez	ADP	22	case
22	GMV	PROPN	14	obl:mod
23	S.A.	NOUN	22	flat:name
24	à	ADP	25	case
25	Madrid	PROPN	14	obl:mod
26	,	PUNCT	27	punct
27	Espagne	PROPN	25	nmod
28	,	PUNCT	32	punct
29	notamment	ADV	32	advmod
30	sur	ADP	32	case
31	les	DET	32	det
32	calculs	NOUN	14	obl:mod
33	de	ADP	34	case
34	trajectoire	NOUN	32	nmod
35	de	ADP	37	case
36	la	DET	37	det
37	mission	NOUN	32	nmod
38	Cosmo-Skymed	PROPN	37	appos
39	.	PUNCT	14	punct