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:
Kdyby Vrchní soud v Praze přijal názor, že Minaříkův trestný čin byl promlčen, zastavil by trestní stíhání, což se nestalo, dodal Jaroslav Cihlář.
Postion	Tokenization
1	Kdyby
2	Když
3	by
4	Vrchní
5	soud
6	v
7	Praze
8	přijal
9	názor
10	,
11	že
12	Minaříkův
13	trestný
14	čin
15	byl
16	promlčen
17	,
18	zastavil
19	by
20	trestní
21	stíhání
22	,
23	což
24	se
25	nestalo
26	,
27	dodal
28	Jaroslav
29	Cihlář
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Kdyby	_	None	_
2	Když	SCONJ	7	mark
3	by	AUX	7	aux
4	Vrchní	ADJ	4	amod
5	soud	NOUN	7	nsubj
6	v	ADP	6	case
7	Praze	PROPN	4	nmod
8	přijal	VERB	17	advcl
9	názor	NOUN	7	obj
10	,	PUNCT	15	punct
11	že	SCONJ	15	mark
12	Minaříkův	ADJ	13	amod
13	trestný	ADJ	13	amod
14	čin	NOUN	15	nsubj
15	byl	AUX	15	cop
16	promlčen	ADJ	8	acl
17	,	PUNCT	7	punct
18	zastavil	VERB	26	ccomp
19	by	AUX	17	aux
20	trestní	ADJ	20	amod
21	stíhání	NOUN	17	obj
22	,	PUNCT	24	punct
23	což	PRON	24	nsubj
24	se	PRON	24	expl:pv
25	nestalo	VERB	17	conj
26	,	PUNCT	17	punct
27	dodal	VERB	0	root
28	Jaroslav	PROPN	26	nsubj
29	Cihlář	PROPN	27	flat
30	.	PUNCT	26	punct