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:
Zároveň byla vyhlášena nejsympatičtější žena podle mínění čtenářů časopisu Květy, kterou se s výrazným náskokem 600 bodů stala 31letá Zdenka Jelínská z Karlových Varů, povoláním učitelka.
Postion	Tokenization
1	Zároveň
2	byla
3	vyhlášena
4	nejsympatičtější
5	žena
6	podle
7	mínění
8	čtenářů
9	časopisu
10	Květy
11	,
12	kterou
13	se
14	s
15	výrazným
16	náskokem
17	600
18	bodů
19	stala
20	31
21	letá
22	Zdenka
23	Jelínská
24	z
25	Karlových
26	Varů
27	,
28	povoláním
29	učitelka
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Zároveň	ADV	3	advmod
2	byla	AUX	3	aux:pass
3	vyhlášena	ADJ	0	root
4	nejsympatičtější	ADJ	5	amod
5	žena	NOUN	3	nsubj:pass
6	podle	ADP	7	case
7	mínění	NOUN	5	nmod
8	čtenářů	NOUN	7	nmod
9	časopisu	NOUN	8	nmod
10	Květy	PROPN	9	nmod
11	,	PUNCT	19	punct
12	kterou	DET	19	obl:arg
13	se	PRON	19	expl:pv
14	s	ADP	16	case
15	výrazným	ADJ	16	amod
16	náskokem	NOUN	19	obl
17	600	NUM	18	nummod
18	bodů	NOUN	16	nmod
19	stala	VERB	5	acl:relcl
20	31	NUM	21	obl
21	letá	ADJ	22	amod
22	Zdenka	PROPN	19	nsubj
23	Jelínská	PROPN	22	flat
24	z	ADP	26	case
25	Karlových	ADJ	26	amod
26	Varů	PROPN	22	nmod
27	,	PUNCT	29	punct
28	povoláním	NOUN	29	nmod
29	učitelka	NOUN	22	appos
30	.	PUNCT	3	punct