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:
La veille, dans le registre musique du monde, c'est Graëme Allwright qui a donné des frissons à près de 2000 personnes.
Postion	Tokenization
1	La
2	veille
3	,
4	dans
5	le
6	registre
7	musique
8	du
9	de
10	le
11	monde
12	,
13	c'
14	est
15	Graëme
16	Allwright
17	qui
18	a
19	donné
20	des
21	frissons
22	à
23	près
24	de
25	2000
26	personnes
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	veille	NOUN	14	obl:mod
3	,	PUNCT	2	punct
4	dans	ADP	6	case
5	le	DET	6	det
6	registre	NOUN	14	obl:mod
7	musique	NOUN	6	appos
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	monde	NOUN	7	nmod
12	,	PUNCT	6	punct
13	c'	PRON	14	expl:subj
14	est	AUX	14	cop
15	Graëme	PROPN	0	root
16	Allwright	PROPN	14	flat:name
17	qui	PRON	18	nsubj
18	a	AUX	18	aux:tense
19	donné	VERB	14	advcl:cleft
20	des	DET	20	det
21	frissons	NOUN	18	obj
22	à	ADP	22	case
23	près	ADV	18	obl:mod
24	de	ADP	25	case
25	2000	NUM	25	nummod
26	personnes	NOUN	22	dep:comp
27	.	PUNCT	14	punct