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:
Après avoir reçu le prix d'excellence en broderie au mois de juillet dernier, Olivia Rivière s'envolera demain pour la métropole, où elle rencontrera le Président de la République Nicolas Sarkozy.
Postion	Tokenization
1	Après
2	avoir
3	reçu
4	le
5	prix
6	d'
7	excellence
8	en
9	broderie
10	au
11	à
12	le
13	mois
14	de
15	juillet
16	dernier
17	,
18	Olivia
19	Rivière
20	s'
21	envolera
22	demain
23	pour
24	la
25	métropole
26	,
27	où
28	elle
29	rencontrera
30	le
31	Président
32	de
33	la
34	République
35	Nicolas
36	Sarkozy
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	mark
2	avoir	AUX	3	aux:tense
3	reçu	VERB	20	advcl
4	le	DET	5	det
5	prix	NOUN	3	obj
6	d'	ADP	7	case
7	excellence	NOUN	5	nmod
8	en	ADP	9	case
9	broderie	NOUN	5	nmod
10	au	_	None	_
11	à	ADP	12	case
12	le	DET	12	det
13	mois	NOUN	3	obl:mod
14	de	ADP	14	case
15	juillet	NOUN	12	nmod
16	dernier	ADJ	14	amod
17	,	PUNCT	3	punct
18	Olivia	PROPN	20	nsubj
19	Rivière	PROPN	17	flat:name
20	s'	PRON	20	dep:comp
21	envolera	VERB	0	root
22	demain	ADV	20	advmod
23	pour	ADP	24	case
24	la	DET	24	det
25	métropole	NOUN	20	obl:mod
26	,	PUNCT	28	punct
27	où	ADV	28	advmod
28	elle	PRON	28	nsubj
29	rencontrera	VERB	24	acl:relcl
30	le	DET	30	det
31	Président	NOUN	28	obj
32	de	ADP	33	case
33	la	DET	33	det
34	République	NOUN	30	nmod
35	Nicolas	PROPN	30	appos
36	Sarkozy	PROPN	34	flat:name
37	.	PUNCT	20	punct