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:
En 1998, l'augmentation constante de l'utilisation de la ligne entraîne plusieurs améliorations en gare de Provins comme la construction d'un parking de 4000 m ainsi qu'une gare routière.
Postion	Tokenization
1	En
2	1998
3	,
4	l'
5	augmentation
6	constante
7	de
8	l'
9	utilisation
10	de
11	la
12	ligne
13	entraîne
14	plusieurs
15	améliorations
16	en
17	gare
18	de
19	Provins
20	comme
21	la
22	construction
23	d'
24	un
25	parking
26	de
27	4000
28	m
29	ainsi
30	qu'
31	une
32	gare
33	routière
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1998	NUM	13	obl:mod
3	,	PUNCT	2	punct
4	l'	DET	5	det
5	augmentation	NOUN	13	nsubj
6	constante	ADJ	5	amod
7	de	ADP	9	case
8	l'	DET	9	det
9	utilisation	NOUN	5	nmod
10	de	ADP	12	case
11	la	DET	12	det
12	ligne	NOUN	9	nmod
13	entraîne	VERB	0	root
14	plusieurs	DET	15	det
15	améliorations	NOUN	13	obj
16	en	ADP	17	case
17	gare	NOUN	13	obl:mod
18	de	ADP	19	case
19	Provins	PROPN	17	nmod
20	comme	ADP	22	case
21	la	DET	22	det
22	construction	NOUN	15	nmod
23	d'	ADP	25	case
24	un	DET	25	det
25	parking	NOUN	22	nmod
26	de	ADP	28	case
27	4000	NUM	28	nummod
28	m	NOUN	25	nmod
29	ainsi	ADV	32	cc
30	qu'	SCONJ	29	fixed
31	une	DET	32	det
32	gare	NOUN	25	conj
33	routière	ADJ	32	amod
34	.	PUNCT	13	punct