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:
À noter qu'il a formé la cavalière Eugénie Angot, elle aussi sélectionnée aux Jeux olympiques d'Athènes en 2004 avec sa jument Cigale du Taillis.
Postion	Tokenization
1	À
2	noter
3	qu'
4	il
5	a
6	formé
7	la
8	cavalière
9	Eugénie
10	Angot
11	,
12	elle
13	aussi
14	sélectionnée
15	aux
16	à
17	les
18	Jeux
19	olympiques
20	d'
21	Athènes
22	en
23	2004
24	avec
25	sa
26	jument
27	Cigale
28	du
29	de
30	le
31	Taillis
32	.
Position	Tokenization	UPOS	Head	Deprel
1	À	ADP	2	mark
2	noter	VERB	0	root
3	qu'	SCONJ	6	mark
4	il	PRON	6	nsubj
5	a	AUX	6	aux:tense
6	formé	VERB	2	ccomp:obj
7	la	DET	8	det
8	cavalière	NOUN	6	obj
9	Eugénie	PROPN	8	appos
10	Angot	PROPN	9	flat:name
11	,	PUNCT	12	punct
12	elle	PRON	9	appos
13	aussi	ADV	14	advmod
14	sélectionnée	VERB	12	acl
15	aux	_	None	_
16	à	ADP	17	case
17	les	DET	17	det
18	Jeux	NOUN	14	obl:arg
19	olympiques	ADJ	17	amod
20	d'	ADP	20	case
21	Athènes	PROPN	17	nmod
22	en	ADP	22	case
23	2004	NUM	14	obl:mod
24	avec	ADP	25	case
25	sa	DET	25	det
26	jument	NOUN	14	obl:mod
27	Cigale	PROPN	25	appos
28	du	_	None	_
29	de	ADP	29	case
30	le	DET	29	det
31	Taillis	PROPN	26	nmod
32	.	PUNCT	2	punct