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:
D'abord élève d'une petite pension de la ville de Vouziers, il entra au collège de Reims où il remporta dès la première année neuf prix.
Postion	Tokenization
1	D'
2	abord
3	élève
4	d'
5	une
6	petite
7	pension
8	de
9	la
10	ville
11	de
12	Vouziers
13	,
14	il
15	entra
16	au
17	à
18	le
19	collège
20	de
21	Reims
22	où
23	il
24	remporta
25	dès
26	la
27	première
28	année
29	neuf
30	prix
31	.
Position	Tokenization	UPOS	Head	Deprel
1	D'	ADP	3	advmod
2	abord	NOUN	1	fixed
3	élève	NOUN	15	advcl
4	d'	ADP	7	case
5	une	DET	7	det
6	petite	ADJ	7	amod
7	pension	NOUN	3	nmod
8	de	ADP	10	case
9	la	DET	10	det
10	ville	NOUN	7	nmod
11	de	ADP	12	case
12	Vouziers	PROPN	10	nmod
13	,	PUNCT	3	punct
14	il	PRON	15	nsubj
15	entra	VERB	0	root
16	au	_	None	_
17	à	ADP	18	case
18	le	DET	18	det
19	collège	NOUN	15	obl:arg
20	de	ADP	20	case
21	Reims	PROPN	18	nmod
22	où	ADV	23	advmod
23	il	PRON	23	nsubj
24	remporta	VERB	18	acl:relcl
25	dès	ADP	27	case
26	la	DET	27	det
27	première	ADJ	27	amod
28	année	NOUN	23	obl:mod
29	neuf	NUM	29	nummod
30	prix	NOUN	23	obj
31	.	PUNCT	15	punct