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:
Elle fait partie des artistes japonais ayant vendu le plus d'albums, avec plus de 30 millions de disques.
Postion	Tokenization
1	Elle
2	fait
3	partie
4	des
5	de
6	les
7	artistes
8	japonais
9	ayant
10	vendu
11	le
12	plus
13	d'
14	albums
15	,
16	avec
17	plus
18	de
19	30
20	millions
21	de
22	disques
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	fait	VERB	0	root
3	partie	NOUN	2	obj:lvc
4	des	_	None	_
5	de	ADP	6	case
6	les	DET	6	det
7	artistes	NOUN	2	obl:arg
8	japonais	ADJ	6	amod
9	ayant	AUX	9	aux:tense
10	vendu	VERB	6	acl
11	le	DET	9	obj
12	plus	NOUN	10	fixed
13	d'	ADP	13	case
14	albums	NOUN	10	nmod
15	,	PUNCT	16	punct
16	avec	ADP	16	case
17	plus	ADV	9	obl:mod
18	de	ADP	19	case
19	30	NUM	19	nummod
20	millions	NOUN	16	dep:comp
21	de	ADP	21	case
22	disques	NOUN	19	nmod
23	.	PUNCT	2	punct