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:
Territoires est une collection de romans fantastiques destinée aux 15-25 ans et publiée chez Fleuve noir à partir de 2011.
Postion	Tokenization
1	Territoires
2	est
3	une
4	collection
5	de
6	romans
7	fantastiques
8	destinée
9	aux
10	à
11	les
12	15-25
13	ans
14	et
15	publiée
16	chez
17	Fleuve
18	noir
19	à
20	partir
21	de
22	2011
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Territoires	PROPN	4	nsubj
2	est	AUX	4	cop
3	une	DET	4	det
4	collection	NOUN	0	root
5	de	ADP	6	case
6	romans	NOUN	4	nmod
7	fantastiques	ADJ	6	amod
8	destinée	VERB	4	acl
9	aux	_	None	_
10	à	ADP	12	case
11	les	DET	12	det
12	15-25	NUM	12	nummod
13	ans	NOUN	8	obl:arg
14	et	CCONJ	14	cc
15	publiée	VERB	8	conj
16	chez	ADP	16	case
17	Fleuve	PROPN	14	obl:mod
18	noir	ADJ	16	amod
19	à	ADP	14	advmod
20	partir	VERB	18	fixed
21	de	ADP	21	case
22	2011	NUM	18	obl:arg
23	.	PUNCT	4	punct