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 1948, sa version de Good Rockin' Tonight, de Roy Brown, atteint la première place des ventes dans la catégorie « race records ».
Postion	Tokenization
1	En
2	1948
3	,
4	sa
5	version
6	de
7	Good
8	Rockin'
9	Tonight
10	,
11	de
12	Roy
13	Brown
14	,
15	atteint
16	la
17	première
18	place
19	des
20	de
21	les
22	ventes
23	dans
24	la
25	catégorie
26	«
27	race
28	records
29	»
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1948	NUM	15	obl:mod
3	,	PUNCT	2	punct
4	sa	DET	5	det
5	version	NOUN	15	nsubj
6	de	ADP	7	case
7	Good	PROPN	5	nmod
8	Rockin'	PROPN	7	flat:name
9	Tonight	PROPN	8	flat:name
10	,	PUNCT	12	punct
11	de	ADP	12	case
12	Roy	PROPN	5	nmod
13	Brown	PROPN	12	flat:name
14	,	PUNCT	12	punct
15	atteint	VERB	0	root
16	la	DET	18	det
17	première	ADJ	18	amod
18	place	NOUN	15	obj
19	des	_	None	_
20	de	ADP	21	case
21	les	DET	21	det
22	ventes	NOUN	18	nmod
23	dans	ADP	24	case
24	la	DET	24	det
25	catégorie	NOUN	18	nmod
26	«	PUNCT	27	punct
27	race	NOUN	27	nmod
28	records	NOUN	24	appos
29	»	PUNCT	27	punct
30	.	PUNCT	15	punct