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 text: Vilma ( Zuzana Geislerová) představuje všednodenní průměr vědkyně pohybující se ve světě zubařů, nákupů a drobných milostných úniků od reality; průměr, který se vzepře toliko v rámci hodnot svého malého světa.
Position	Tokenization	UPOS	Head	Deprel
1	Vilma	PROPN	6	nsubj
2	(	PUNCT	3	punct
3	Zuzana	PROPN	1	flat
4	Geislerová	PROPN	3	flat
5	)	PUNCT	3	punct
6	představuje	VERB	0	root
7	všednodenní	ADJ	8	amod
8	průměr	NOUN	6	obj
9	vědkyně	NOUN	8	nmod
10	pohybující	ADJ	9	amod
11	se	PRON	10	expl:pv
12	ve	ADP	13	case
13	světě	NOUN	10	obl
14	zubařů	NOUN	13	nmod
15	,	PUNCT	16	punct
16	nákupů	NOUN	14	conj
17	a	CCONJ	20	cc
18	drobných	ADJ	20	amod
19	milostných	ADJ	20	amod
20	úniků	NOUN	14	conj
21	od	ADP	22	case
22	reality	NOUN	20	nmod
23	;	PUNCT	24	punct
24	průměr	NOUN	8	conj
25	,	PUNCT	28	punct
26	který	DET	28	nsubj
27	se	PRON	28	expl:pv
28	vzepře	VERB	24	acl:relcl
29	toliko	ADV	31	advmod:emph
30	v	ADP	31	case
31	rámci	NOUN	28	obl
32	hodnot	NOUN	31	nmod
33	svého	DET	35	det
34	malého	ADJ	35	amod
35	světa	NOUN	32	nmod
36	.	PUNCT	6	punct