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:
Podle sdělení tiskové mluvčí Všeobecné zdravotní pojišťovny Adély Zimové má preventivní prohlídka hodnotu deset bodů (to je například u VZP 5.20 Kč).
Postion	Tokenization
1	Podle
2	sdělení
3	tiskové
4	mluvčí
5	Všeobecné
6	zdravotní
7	pojišťovny
8	Adély
9	Zimové
10	má
11	preventivní
12	prohlídka
13	hodnotu
14	deset
15	bodů
16	(
17	to
18	je
19	například
20	u
21	VZP
22	5.20
23	Kč
24	)
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	sdělení	NOUN	10	obl
3	tiskové	ADJ	4	amod
4	mluvčí	NOUN	2	nmod
5	Všeobecné	ADJ	7	amod
6	zdravotní	ADJ	7	amod
7	pojišťovny	NOUN	4	nmod
8	Adély	PROPN	4	flat
9	Zimové	PROPN	4	flat
10	má	VERB	0	root
11	preventivní	ADJ	12	amod
12	prohlídka	NOUN	10	nsubj
13	hodnotu	NOUN	10	obj
14	deset	NUM	15	nummod:gov
15	bodů	NOUN	13	nmod
16	(	PUNCT	22	punct
17	to	DET	22	nsubj
18	je	AUX	22	cop
19	například	ADV	21	advmod:emph
20	u	ADP	21	case
21	VZP	PROPN	22	obl
22	5.20	NUM	10	parataxis
23	Kč	NOUN	22	nmod
24	)	PUNCT	22	punct
25	.	PUNCT	10	punct