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:
Un expert des effets spéciaux se voit contraint de "faire disparaître" un ancien criminel qui devait témoigner dans un procès contre la mafia...
Postion	Tokenization
1	Un
2	expert
3	des
4	de
5	les
6	effets
7	spéciaux
8	se
9	voit
10	contraint
11	de
12	"
13	faire
14	disparaître
15	"
16	un
17	ancien
18	criminel
19	qui
20	devait
21	témoigner
22	dans
23	un
24	procès
25	contre
26	la
27	mafia
28	...
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	expert	NOUN	8	nsubj
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	effets	NOUN	2	nmod
7	spéciaux	ADJ	5	amod
8	se	PRON	8	dep:comp
9	voit	VERB	0	root
10	contraint	ADJ	8	xcomp:pred
11	de	ADP	13	mark
12	"	PUNCT	13	punct
13	faire	AUX	13	aux:caus
14	disparaître	VERB	9	ccomp:obl
15	"	PUNCT	13	punct
16	un	DET	17	det
17	ancien	ADJ	17	amod
18	criminel	NOUN	13	obj:agent
19	qui	PRON	19	nsubj
20	devait	VERB	17	acl:relcl
21	témoigner	VERB	19	xcomp:obj
22	dans	ADP	23	case
23	un	DET	23	det
24	procès	NOUN	20	obl:mod
25	contre	ADP	26	case
26	la	DET	26	det
27	mafia	NOUN	23	nmod
28	...	PUNCT	8	punct