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:
Kavelaars contacta l'auteur du conte, Michael Kusugak, pour obtenir son accord, et c'est ce dernier qui suggéra les noms de Kiviuq et de 90377 Sedna.
Postion	Tokenization
1	Kavelaars
2	contacta
3	l'
4	auteur
5	du
6	de
7	le
8	conte
9	,
10	Michael
11	Kusugak
12	,
13	pour
14	obtenir
15	son
16	accord
17	,
18	et
19	c'
20	est
21	ce
22	dernier
23	qui
24	suggéra
25	les
26	noms
27	de
28	Kiviuq
29	et
30	de
31	90377
32	Sedna
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Kavelaars	PROPN	2	nsubj
2	contacta	VERB	0	root
3	l'	DET	4	det
4	auteur	NOUN	2	obj
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	conte	NOUN	4	nmod
9	,	PUNCT	9	punct
10	Michael	PROPN	7	appos
11	Kusugak	PROPN	9	flat:name
12	,	PUNCT	13	punct
13	pour	ADP	13	mark
14	obtenir	VERB	2	advcl
15	son	DET	15	det
16	accord	NOUN	13	obj
17	,	PUNCT	21	punct
18	et	CCONJ	21	cc
19	c'	PRON	21	expl:subj
20	est	AUX	21	cop
21	ce	DET	21	det
22	dernier	ADJ	2	conj
23	qui	PRON	23	nsubj
24	suggéra	VERB	21	advcl:cleft
25	les	DET	25	det
26	noms	NOUN	23	obj
27	de	ADP	27	case
28	Kiviuq	PROPN	25	nmod
29	et	CCONJ	31	cc
30	de	ADP	31	case
31	90377	NUM	31	nummod
32	Sedna	PROPN	27	conj
33	.	PUNCT	2	punct