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:
Wilczy Targ [vilt ͡ʂɨ tark] est un village polonais de la gmina de Belsk Duży dans le powiat de Grójec et dans la voïvodie de Mazovie.
Postion	Tokenization
1	Wilczy
2	Targ
3	[
4	vilt
5	͡ʂɨ
6	tark
7	]
8	est
9	un
10	village
11	polonais
12	de
13	la
14	gmina
15	de
16	Belsk
17	Duży
18	dans
19	le
20	powiat
21	de
22	Grójec
23	et
24	dans
25	la
26	voïvodie
27	de
28	Mazovie
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Wilczy	PROPN	10	nsubj
2	Targ	PROPN	1	flat:name
3	[	PUNCT	6	punct
4	vilt	X	6	nmod
5	͡ʂɨ	X	6	nmod
6	tark	PROPN	1	appos
7	]	PUNCT	6	punct
8	est	AUX	10	cop
9	un	DET	10	det
10	village	NOUN	0	root
11	polonais	ADJ	10	amod
12	de	ADP	14	case
13	la	DET	14	det
14	gmina	NOUN	10	nmod
15	de	ADP	16	case
16	Belsk	PROPN	14	nmod
17	Duży	PROPN	16	flat:name
18	dans	ADP	20	case
19	le	DET	20	det
20	powiat	NOUN	10	nmod
21	de	ADP	22	case
22	Grójec	PROPN	20	nmod
23	et	CCONJ	26	cc
24	dans	ADP	26	case
25	la	DET	26	det
26	voïvodie	NOUN	20	conj
27	de	ADP	28	case
28	Mazovie	PROPN	26	nmod
29	.	PUNCT	10	punct