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:
C'est donc la fin du TCR, et en même temps la fin des autres marques que des régions ont lancé ailleurs (Pays de la Loire, Languedoc-Roussillon).
Postion	Tokenization
1	C'
2	est
3	donc
4	la
5	fin
6	du
7	de
8	le
9	TCR
10	,
11	et
12	en
13	même
14	temps
15	la
16	fin
17	des
18	de
19	les
20	autres
21	marques
22	que
23	des
24	régions
25	ont
26	lancé
27	ailleurs
28	(
29	Pays
30	de
31	la
32	Loire
33	,
34	Languedoc-Roussillon
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	C'	PRON	5	nsubj
2	est	AUX	5	cop
3	donc	ADV	5	advmod
4	la	DET	5	det
5	fin	NOUN	0	root
6	du	_	None	_
7	de	ADP	8	case
8	le	DET	8	det
9	TCR	PROPN	5	nmod
10	,	PUNCT	15	punct
11	et	CCONJ	15	cc
12	en	ADP	15	orphan
13	même	ADJ	11	fixed
14	temps	NOUN	11	fixed
15	la	DET	15	det
16	fin	NOUN	5	conj
17	des	_	None	_
18	de	ADP	19	case
19	les	DET	19	det
20	autres	ADJ	19	amod
21	marques	NOUN	15	nmod
22	que	PRON	24	obj
23	des	DET	22	det
24	régions	NOUN	24	nsubj
25	ont	AUX	24	aux:tense
26	lancé	VERB	19	acl:relcl
27	ailleurs	ADV	24	advmod
28	(	PUNCT	27	punct
29	Pays	PROPN	25	obl:mod
30	de	ADP	30	case
31	la	DET	30	det
32	Loire	PROPN	27	nmod
33	,	PUNCT	32	punct
34	Languedoc-Roussillon	PROPN	27	conj
35	)	PUNCT	27	punct
36	.	PUNCT	5	punct