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 réalisé des films comme Appolo 13 ou le Da Vinci Code, il désire désormais se pencher lui aussi sur le genre super héroïque.
Postion	Tokenization
1	Après
2	avoir
3	réalisé
4	des
5	films
6	comme
7	Appolo
8	13
9	ou
10	le
11	Da
12	Vinci
13	Code
14	,
15	il
16	désire
17	désormais
18	se
19	pencher
20	lui
21	aussi
22	sur
23	le
24	genre
25	super
26	héroïque
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	mark
2	avoir	AUX	3	aux:tense
3	réalisé	VERB	16	advcl
4	des	DET	5	det
5	films	NOUN	3	obj
6	comme	ADP	7	case
7	Appolo	PROPN	5	nmod
8	13	NUM	7	nmod
9	ou	CCONJ	11	cc
10	le	DET	11	det
11	Da	PROPN	7	conj
12	Vinci	PROPN	11	flat:name
13	Code	PROPN	12	flat:name
14	,	PUNCT	3	punct
15	il	PRON	16	nsubj
16	désire	VERB	0	root
17	désormais	ADV	16	advmod
18	se	PRON	19	dep:comp
19	pencher	VERB	16	ccomp:obj
20	lui	PRON	19	obl:mod
21	aussi	ADV	20	advmod
22	sur	ADP	24	case
23	le	DET	24	det
24	genre	NOUN	19	obl:mod
25	super	ADV	26	advmod
26	héroïque	ADJ	24	amod
27	.	PUNCT	16	punct