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:
Svoboda upozornil, že 25 miliard korun, což je hodnota zdravotnického majetku privatizovaného v první vlně, bude nutno splatit z fondu zdravotního pojištění občanů.
Postion	Tokenization
1	Svoboda
2	upozornil
3	,
4	že
5	25
6	miliard
7	korun
8	,
9	což
10	je
11	hodnota
12	zdravotnického
13	majetku
14	privatizovaného
15	v
16	první
17	vlně
18	,
19	bude
20	nutno
21	splatit
22	z
23	fondu
24	zdravotního
25	pojištění
26	občanů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Svoboda	PROPN	2	nsubj
2	upozornil	VERB	0	root
3	,	PUNCT	20	punct
4	že	SCONJ	20	mark
5	25	NUM	6	nummod:gov
6	miliard	NOUN	21	obj
7	korun	NOUN	6	nmod
8	,	PUNCT	11	punct
9	což	PRON	11	nsubj
10	je	AUX	11	cop
11	hodnota	NOUN	7	acl:relcl
12	zdravotnického	ADJ	13	amod
13	majetku	NOUN	11	nmod
14	privatizovaného	ADJ	13	amod
15	v	ADP	17	case
16	první	ADJ	17	amod
17	vlně	NOUN	14	obl
18	,	PUNCT	11	punct
19	bude	AUX	20	cop
20	nutno	ADJ	2	ccomp
21	splatit	VERB	20	csubj
22	z	ADP	23	case
23	fondu	NOUN	21	obl
24	zdravotního	ADJ	25	amod
25	pojištění	NOUN	23	nmod
26	občanů	NOUN	25	nmod
27	.	PUNCT	2	punct