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:
L'amélioration concerne onze axes (hors Métrodunes) et s'inscrit dans un contexte d'une baisse de fréquentation des trains régionaux, de 6% entre 1976 et 1978.
Postion	Tokenization
1	L'
2	amélioration
3	concerne
4	onze
5	axes
6	(
7	hors
8	Métrodunes
9	)
10	et
11	s'
12	inscrit
13	dans
14	un
15	contexte
16	d'
17	une
18	baisse
19	de
20	fréquentation
21	des
22	de
23	les
24	trains
25	régionaux
26	,
27	de
28	6
29	%
30	entre
31	1976
32	et
33	1978
34	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	amélioration	NOUN	3	nsubj
3	concerne	VERB	0	root
4	onze	NUM	5	nummod
5	axes	NOUN	3	obj
6	(	PUNCT	8	punct
7	hors	ADP	8	case
8	Métrodunes	PROPN	3	obl:mod
9	)	PUNCT	8	punct
10	et	CCONJ	12	cc
11	s'	PRON	12	expl:pass
12	inscrit	VERB	3	conj
13	dans	ADP	15	case
14	un	DET	15	det
15	contexte	NOUN	12	obl:arg
16	d'	ADP	18	case
17	une	DET	18	det
18	baisse	NOUN	15	nmod
19	de	ADP	20	case
20	fréquentation	NOUN	18	nmod
21	des	_	None	_
22	de	ADP	23	case
23	les	DET	23	det
24	trains	NOUN	20	nmod
25	régionaux	ADJ	23	amod
26	,	PUNCT	28	punct
27	de	ADP	28	case
28	6	NUM	28	nummod
29	%	SYM	18	nmod
30	entre	ADP	30	case
31	1976	NUM	18	nmod
32	et	CCONJ	32	cc
33	1978	NUM	30	conj
34	.	PUNCT	3	punct