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 ses études à la FEMIS (promotion 2002--département scénario), elle réalise trois courts métrages et écrit le scénario du film de Vladimir Perisic, Ordinary people (sorti en 2009).
Postion	Tokenization
1	Après
2	ses
3	études
4	à
5	la
6	FEMIS
7	(
8	promotion
9	2002
10	--
11	département
12	scénario
13	)
14	,
15	elle
16	réalise
17	trois
18	courts
19	métrages
20	et
21	écrit
22	le
23	scénario
24	du
25	de
26	le
27	film
28	de
29	Vladimir
30	Perisic
31	,
32	Ordinary
33	people
34	(
35	sorti
36	en
37	2009
38	)
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	ses	DET	3	det
3	études	NOUN	16	obl:mod
4	à	ADP	6	case
5	la	DET	6	det
6	FEMIS	PROPN	3	nmod
7	(	PUNCT	8	punct
8	promotion	NOUN	6	nmod
9	2002	NUM	8	nmod
10	--	PUNCT	11	punct
11	département	NOUN	8	conj
12	scénario	NOUN	11	appos
13	)	PUNCT	8	punct
14	,	PUNCT	3	punct
15	elle	PRON	16	nsubj
16	réalise	VERB	0	root
17	trois	NUM	19	nummod
18	courts	ADJ	19	amod
19	métrages	NOUN	16	obj
20	et	CCONJ	21	cc
21	écrit	VERB	16	conj
22	le	DET	23	det
23	scénario	NOUN	21	obj
24	du	_	None	_
25	de	ADP	26	case
26	le	DET	26	det
27	film	NOUN	23	nmod
28	de	ADP	28	case
29	Vladimir	PROPN	26	nmod
30	Perisic	PROPN	28	flat:name
31	,	PUNCT	31	punct
32	Ordinary	PROPN	26	appos
33	people	PROPN	31	flat:name
34	(	PUNCT	34	punct
35	sorti	VERB	26	acl
36	en	ADP	36	case
37	2009	NUM	34	obl:mod
38	)	PUNCT	34	punct
39	.	PUNCT	16	punct