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:
Elle a assisté à la Convention IMTA à New York avec le studio de Ms.O'Brien en l'an 2000 et a gagné bon nombre de récompenses.
Postion	Tokenization
1	Elle
2	a
3	assisté
4	à
5	la
6	Convention
7	IMTA
8	à
9	New
10	York
11	avec
12	le
13	studio
14	de
15	Ms.
16	O'Brien
17	en
18	l'
19	an
20	2000
21	et
22	a
23	gagné
24	bon
25	nombre
26	de
27	récompenses
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	3	nsubj
2	a	AUX	3	aux:tense
3	assisté	VERB	0	root
4	à	ADP	6	case
5	la	DET	6	det
6	Convention	NOUN	3	obl:arg
7	IMTA	PROPN	6	appos
8	à	ADP	9	case
9	New	PROPN	3	obl:mod
10	York	PROPN	9	flat:name
11	avec	ADP	13	case
12	le	DET	13	det
13	studio	NOUN	3	obl:mod
14	de	ADP	15	case
15	Ms.	NOUN	13	nmod
16	O'Brien	PROPN	15	appos
17	en	ADP	19	case
18	l'	DET	19	det
19	an	NOUN	3	obl:mod
20	2000	NUM	19	nmod
21	et	CCONJ	23	cc
22	a	AUX	23	aux:tense
23	gagné	VERB	3	conj
24	bon	ADJ	25	amod
25	nombre	NOUN	23	obj
26	de	ADP	27	case
27	récompenses	NOUN	25	nmod
28	.	PUNCT	3	punct