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:
Partout en Europe, et particulièrement en France, elle obtient un très grand succès qui se répercuta également à l'échelle planétaire.
Postion	Tokenization
1	Partout
2	en
3	Europe
4	,
5	et
6	particulièrement
7	en
8	France
9	,
10	elle
11	obtient
12	un
13	très
14	grand
15	succès
16	qui
17	se
18	répercuta
19	également
20	à
21	l'
22	échelle
23	planétaire
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Partout	ADV	3	advmod
2	en	ADP	3	case
3	Europe	PROPN	11	obl:mod
4	,	PUNCT	8	punct
5	et	CCONJ	8	cc
6	particulièrement	ADV	8	advmod
7	en	ADP	8	case
8	France	PROPN	3	conj
9	,	PUNCT	8	punct
10	elle	PRON	11	nsubj
11	obtient	VERB	0	root
12	un	DET	15	det
13	très	ADV	14	advmod
14	grand	ADJ	15	amod
15	succès	NOUN	11	obj
16	qui	PRON	18	nsubj:pass
17	se	PRON	18	expl:pass
18	répercuta	VERB	15	acl:relcl
19	également	ADV	18	advmod
20	à	ADP	22	case
21	l'	DET	22	det
22	échelle	NOUN	18	obl:mod
23	planétaire	ADJ	22	amod
24	.	PUNCT	11	punct