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:
Prostředí svérázných pařížských figurek plasticky dotvářejí také ostatní postavy, například Václav Dušek jako chlapácký Charles, Andrea Bogušovská jako Madla Nožka, připomínající oživlou panenku, a Vlastimil Čaněk jako veteránský švec Gridoux.
Postion	Tokenization
1	Prostředí
2	svérázných
3	pařížských
4	figurek
5	plasticky
6	dotvářejí
7	také
8	ostatní
9	postavy
10	,
11	například
12	Václav
13	Dušek
14	jako
15	chlapácký
16	Charles
17	,
18	Andrea
19	Bogušovská
20	jako
21	Madla
22	Nožka
23	,
24	připomínající
25	oživlou
26	panenku
27	,
28	a
29	Vlastimil
30	Čaněk
31	jako
32	veteránský
33	švec
34	Gridoux
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Prostředí	NOUN	6	obj
2	svérázných	ADJ	4	amod
3	pařížských	ADJ	4	amod
4	figurek	NOUN	1	nmod
5	plasticky	ADV	6	advmod
6	dotvářejí	VERB	0	root
7	také	ADV	9	advmod:emph
8	ostatní	ADJ	9	amod
9	postavy	NOUN	6	nsubj
10	,	PUNCT	12	punct
11	například	ADV	12	cc
12	Václav	PROPN	9	appos
13	Dušek	PROPN	12	flat
14	jako	SCONJ	16	mark
15	chlapácký	ADJ	16	amod
16	Charles	PROPN	12	xcomp
17	,	PUNCT	18	punct
18	Andrea	PROPN	12	conj
19	Bogušovská	PROPN	18	flat
20	jako	SCONJ	21	mark
21	Madla	PROPN	18	xcomp
22	Nožka	PROPN	21	flat
23	,	PUNCT	24	punct
24	připomínající	ADJ	18	amod
25	oživlou	ADJ	26	amod
26	panenku	NOUN	24	obj
27	,	PUNCT	24	punct
28	a	CCONJ	29	cc
29	Vlastimil	PROPN	12	conj
30	Čaněk	PROPN	29	flat
31	jako	SCONJ	33	mark
32	veteránský	ADJ	33	amod
33	švec	NOUN	29	xcomp
34	Gridoux	PROPN	33	flat
35	.	PUNCT	6	punct