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:
Gilmour est nommé pour l'obtention du trophée Hart et gagna le trophée Frank J. Selke, le plus grand trophée gagné par un joueur des Maple Leafs depuis 1967.
Postion	Tokenization
1	Gilmour
2	est
3	nommé
4	pour
5	l'
6	obtention
7	du
8	de
9	le
10	trophée
11	Hart
12	et
13	gagna
14	le
15	trophée
16	Frank
17	J.
18	Selke
19	,
20	le
21	plus
22	grand
23	trophée
24	gagné
25	par
26	un
27	joueur
28	des
29	de
30	les
31	Maple
32	Leafs
33	depuis
34	1967
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Gilmour	PROPN	3	nsubj:pass
2	est	AUX	3	aux:pass
3	nommé	VERB	0	root
4	pour	ADP	6	case
5	l'	DET	6	det
6	obtention	NOUN	3	obl:mod
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	trophée	NOUN	6	nmod
11	Hart	PROPN	9	appos
12	et	CCONJ	12	cc
13	gagna	VERB	3	conj
14	le	DET	14	det
15	trophée	NOUN	12	obj
16	Frank	PROPN	14	appos
17	J.	PROPN	15	flat:name
18	Selke	PROPN	16	flat:name
19	,	PUNCT	22	punct
20	le	DET	22	det
21	plus	ADV	21	advmod
22	grand	ADJ	22	amod
23	trophée	NOUN	15	appos
24	gagné	VERB	22	acl
25	par	ADP	26	case
26	un	DET	26	det
27	joueur	NOUN	23	obl:agent
28	des	_	None	_
29	de	ADP	29	case
30	les	DET	29	det
31	Maple	PROPN	26	nmod
32	Leafs	PROPN	29	flat:name
33	depuis	ADP	32	case
34	1967	NUM	23	obl:mod
35	.	PUNCT	3	punct