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:
Ces dernières années, suite à l'augmentation du transport ferroviaire, l'administration locale prévoit de remettre en fonctionnement la ligne de chemin de fer précédemment fermée.
Postion	Tokenization
1	Ces
2	dernières
3	années
4	,
5	suite
6	à
7	l'
8	augmentation
9	du
10	de
11	le
12	transport
13	ferroviaire
14	,
15	l'
16	administration
17	locale
18	prévoit
19	de
20	remettre
21	en
22	fonctionnement
23	la
24	ligne
25	de
26	chemin
27	de
28	fer
29	précédemment
30	fermée
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ces	DET	3	det
2	dernières	ADJ	3	amod
3	années	NOUN	17	obl:mod
4	,	PUNCT	3	punct
5	suite	NOUN	8	case
6	à	ADP	5	fixed
7	l'	DET	8	det
8	augmentation	NOUN	17	obl:mod
9	du	_	None	_
10	de	ADP	11	case
11	le	DET	11	det
12	transport	NOUN	8	nmod
13	ferroviaire	ADJ	11	amod
14	,	PUNCT	8	punct
15	l'	DET	15	det
16	administration	NOUN	17	nsubj
17	locale	ADJ	15	amod
18	prévoit	VERB	0	root
19	de	ADP	19	mark
20	remettre	VERB	17	xcomp:obj
21	en	ADP	21	case
22	fonctionnement	NOUN	19	obl:mod
23	la	DET	23	det
24	ligne	NOUN	19	obj
25	de	ADP	25	case
26	chemin	NOUN	23	nmod
27	de	ADP	27	case
28	fer	NOUN	25	nmod
29	précédemment	ADV	29	advmod
30	fermée	VERB	23	acl
31	.	PUNCT	17	punct