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:
Lors de cette seconde saison, il joue avec les Americans de Tri-City et remporte également le Four Broncos Memorial Trophy, trophée pour le meilleur joueur de la LHOu.
Postion	Tokenization
1	Lors
2	de
3	cette
4	seconde
5	saison
6	,
7	il
8	joue
9	avec
10	les
11	Americans
12	de
13	Tri-City
14	et
15	remporte
16	également
17	le
18	Four
19	Broncos
20	Memorial
21	Trophy
22	,
23	trophée
24	pour
25	le
26	meilleur
27	joueur
28	de
29	la
30	LHOu
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Lors	ADV	8	advmod
2	de	ADP	5	case
3	cette	DET	5	det
4	seconde	ADJ	5	amod
5	saison	NOUN	1	obl:arg
6	,	PUNCT	5	punct
7	il	PRON	8	nsubj
8	joue	VERB	0	root
9	avec	ADP	11	case
10	les	DET	11	det
11	Americans	NOUN	8	obl:arg
12	de	ADP	13	case
13	Tri-City	PROPN	11	nmod
14	et	CCONJ	15	cc
15	remporte	VERB	8	conj
16	également	ADV	15	advmod
17	le	DET	18	det
18	Four	PROPN	15	nsubj
19	Broncos	PROPN	18	flat:name
20	Memorial	PROPN	19	flat:name
21	Trophy	PROPN	20	flat:name
22	,	PUNCT	23	punct
23	trophée	NOUN	18	appos
24	pour	ADP	27	case
25	le	DET	27	det
26	meilleur	ADJ	27	amod
27	joueur	NOUN	23	nmod
28	de	ADP	30	case
29	la	DET	30	det
30	LHOu	PROPN	27	nmod
31	.	PUNCT	8	punct