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:
Le premier dresseur de Dragons est devenu un exemple pour ses amis, et maintenant qu'il a une prothèse lui aussi, l'égal de son dragon.
Postion	Tokenization
1	Le
2	premier
3	dresseur
4	de
5	Dragons
6	est
7	devenu
8	un
9	exemple
10	pour
11	ses
12	amis
13	,
14	et
15	maintenant
16	qu'
17	il
18	a
19	une
20	prothèse
21	lui
22	aussi
23	,
24	l'
25	égal
26	de
27	son
28	dragon
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	3	det
2	premier	ADJ	3	amod
3	dresseur	NOUN	7	nsubj
4	de	ADP	5	case
5	Dragons	PROPN	3	nmod
6	est	AUX	7	aux:tense
7	devenu	VERB	0	root
8	un	DET	9	det
9	exemple	NOUN	7	xcomp:pred
10	pour	ADP	12	case
11	ses	DET	12	det
12	amis	NOUN	9	nmod
13	,	PUNCT	25	punct
14	et	CCONJ	25	cc
15	maintenant	ADV	25	advmod
16	qu'	SCONJ	18	mark
17	il	PRON	18	nsubj
18	a	VERB	15	ccomp:obj
19	une	DET	20	det
20	prothèse	NOUN	18	obj
21	lui	PRON	18	obl:mod
22	aussi	ADV	21	advmod
23	,	PUNCT	15	punct
24	l'	DET	25	det
25	égal	ADJ	7	conj
26	de	ADP	28	case
27	son	DET	28	det
28	dragon	NOUN	25	obl:arg
29	.	PUNCT	7	punct