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 plupart de ses tiares sont des cadeaux de pays étrangers, par exemple, une tiare faite de diamants et d'aigues-marines a été donnée par le peuple du Brésil.
Postion	Tokenization
1	La
2	plupart
3	de
4	ses
5	tiares
6	sont
7	des
8	cadeaux
9	de
10	pays
11	étrangers
12	,
13	par
14	exemple
15	,
16	une
17	tiare
18	faite
19	de
20	diamants
21	et
22	d'
23	aigues-marines
24	a
25	été
26	donnée
27	par
28	le
29	peuple
30	du
31	de
32	le
33	Brésil
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	plupart	NOUN	8	nsubj
3	de	ADP	5	case
4	ses	DET	5	det
5	tiares	NOUN	2	nmod
6	sont	AUX	8	cop
7	des	DET	8	det
8	cadeaux	NOUN	0	root
9	de	ADP	10	case
10	pays	NOUN	8	nmod
11	étrangers	ADJ	10	amod
12	,	PUNCT	26	punct
13	par	ADP	26	advmod
14	exemple	NOUN	13	fixed
15	,	PUNCT	13	punct
16	une	DET	17	det
17	tiare	NOUN	26	nsubj:pass
18	faite	VERB	17	acl
19	de	ADP	20	case
20	diamants	NOUN	18	obl:arg
21	et	CCONJ	23	cc
22	d'	ADP	23	case
23	aigues-marines	NOUN	20	conj
24	a	AUX	26	aux:tense
25	été	AUX	26	aux:pass
26	donnée	VERB	8	conj
27	par	ADP	29	case
28	le	DET	29	det
29	peuple	NOUN	26	obl:agent
30	du	_	None	_
31	de	ADP	32	case
32	le	DET	32	det
33	Brésil	PROPN	29	nmod
34	.	PUNCT	8	punct