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:
Soud bude mimoto zvažovat i vinu Chadimové na údajném podvodně vylákaném nábytku z farního úřadu v Kájově u Českého Krumlova v ceně asi 80000 korun.
Postion	Tokenization
1	Soud
2	bude
3	mimoto
4	zvažovat
5	i
6	vinu
7	Chadimové
8	na
9	údajném
10	podvodně
11	vylákaném
12	nábytku
13	z
14	farního
15	úřadu
16	v
17	Kájově
18	u
19	Českého
20	Krumlova
21	v
22	ceně
23	asi
24	80000
25	korun
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Soud	NOUN	4	nsubj
2	bude	AUX	4	aux
3	mimoto	ADV	4	advmod
4	zvažovat	VERB	0	root
5	i	CCONJ	6	advmod:emph
6	vinu	NOUN	4	obj
7	Chadimové	PROPN	6	nmod
8	na	ADP	12	case
9	údajném	ADJ	12	amod
10	podvodně	ADV	11	advmod
11	vylákaném	ADJ	12	amod
12	nábytku	NOUN	6	nmod
13	z	ADP	15	case
14	farního	ADJ	15	amod
15	úřadu	NOUN	12	nmod
16	v	ADP	17	case
17	Kájově	PROPN	15	nmod
18	u	ADP	20	case
19	Českého	ADJ	20	amod
20	Krumlova	PROPN	17	nmod
21	v	ADP	22	case
22	ceně	NOUN	12	nmod
23	asi	PART	24	advmod:emph
24	80000	NUM	25	nummod:gov
25	korun	NOUN	22	nmod
26	.	PUNCT	4	punct