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:
Le lien qui se tisse à ce moment-là sera bref, mais Harold décidera de tout faire pour que le Furie Nocturne, puisse revoler à nouveau.
Postion	Tokenization
1	Le
2	lien
3	qui
4	se
5	tisse
6	à
7	ce
8	moment
9	-là
10	sera
11	bref
12	,
13	mais
14	Harold
15	décidera
16	de
17	tout
18	faire
19	pour
20	que
21	le
22	Furie
23	Nocturne
24	,
25	puisse
26	revoler
27	à
28	nouveau
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	lien	NOUN	11	nsubj
3	qui	PRON	5	nsubj:pass
4	se	PRON	5	expl:pass
5	tisse	VERB	2	acl:relcl
6	à	ADP	8	case
7	ce	DET	8	det
8	moment	NOUN	5	obl:mod
9	-là	ADV	8	advmod
10	sera	AUX	11	cop
11	bref	ADJ	0	root
12	,	PUNCT	15	punct
13	mais	CCONJ	15	cc
14	Harold	PROPN	15	nsubj
15	décidera	VERB	11	conj
16	de	ADP	18	mark
17	tout	PRON	18	obj
18	faire	VERB	15	xcomp:obj
19	pour	ADP	25	mark
20	que	SCONJ	25	mark
21	le	DET	22	det
22	Furie	NOUN	25	nsubj
23	Nocturne	ADJ	22	amod
24	,	PUNCT	22	punct
25	puisse	VERB	18	advcl
26	revoler	VERB	25	xcomp:obj
27	à	ADP	26	advmod
28	nouveau	ADJ	27	fixed
29	.	PUNCT	11	punct