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:
S'il apparaît peu dans la trilogie de Sam Raimi, Flash Thompson est pourtant un personnage important dans les comic-books ainsi que dans les séries animées Spider-Man.
Postion	Tokenization
1	S'
2	il
3	apparaît
4	peu
5	dans
6	la
7	trilogie
8	de
9	Sam
10	Raimi
11	,
12	Flash
13	Thompson
14	est
15	pourtant
16	un
17	personnage
18	important
19	dans
20	les
21	comic-books
22	ainsi
23	que
24	dans
25	les
26	séries
27	animées
28	Spider-Man
29	.
Position	Tokenization	UPOS	Head	Deprel
1	S'	SCONJ	3	mark
2	il	PRON	3	nsubj
3	apparaît	VERB	17	advcl
4	peu	ADV	3	advmod
5	dans	ADP	7	case
6	la	DET	7	det
7	trilogie	NOUN	3	obl:mod
8	de	ADP	9	case
9	Sam	PROPN	7	nmod
10	Raimi	PROPN	9	flat:name
11	,	PUNCT	3	punct
12	Flash	PROPN	17	nsubj
13	Thompson	PROPN	12	flat:name
14	est	AUX	17	cop
15	pourtant	ADV	17	advmod
16	un	DET	17	det
17	personnage	NOUN	0	root
18	important	ADJ	17	amod
19	dans	ADP	21	case
20	les	DET	21	det
21	comic-books	NOUN	17	nmod
22	ainsi	ADV	26	cc
23	que	SCONJ	22	fixed
24	dans	ADP	26	case
25	les	DET	26	det
26	séries	NOUN	21	conj
27	animées	ADJ	26	amod
28	Spider-Man	PROPN	26	appos
29	.	PUNCT	17	punct