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 écrit de nombreuses nouvelles de science-fiction et de fantastique avant de se lancer dans la fantasy avec son grand cycle des Fey.
Postion	Tokenization
1	Elle
2	écrit
3	de
4	nombreuses
5	nouvelles
6	de
7	science-fiction
8	et
9	de
10	fantastique
11	avant
12	de
13	se
14	lancer
15	dans
16	la
17	fantasy
18	avec
19	son
20	grand
21	cycle
22	des
23	de
24	les
25	Fey
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	écrit	VERB	0	root
3	de	DET	5	det
4	nombreuses	ADJ	5	amod
5	nouvelles	NOUN	2	obj
6	de	ADP	7	case
7	science-fiction	NOUN	5	nmod
8	et	CCONJ	10	cc
9	de	ADP	10	case
10	fantastique	NOUN	7	conj
11	avant	ADV	2	advmod
12	de	ADP	14	mark
13	se	PRON	14	obj
14	lancer	VERB	11	ccomp:obj
15	dans	ADP	17	case
16	la	DET	17	det
17	fantasy	NOUN	14	obl:arg
18	avec	ADP	21	case
19	son	DET	21	det
20	grand	ADJ	21	amod
21	cycle	NOUN	14	obl:mod
22	des	_	None	_
23	de	ADP	24	case
24	les	DET	24	det
25	Fey	PROPN	21	nmod
26	.	PUNCT	2	punct