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:
Krajský soud v Praze proto 17. února rozhodl, že spis odešle pražskému krajskému státnímu zástupci, který by měl rozhodnout o dalším osudu kauzy.
Postion	Tokenization
1	Krajský
2	soud
3	v
4	Praze
5	proto
6	17
7	.
8	února
9	rozhodl
10	,
11	že
12	spis
13	odešle
14	pražskému
15	krajskému
16	státnímu
17	zástupci
18	,
19	který
20	by
21	měl
22	rozhodnout
23	o
24	dalším
25	osudu
26	kauzy
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Krajský	ADJ	2	amod
2	soud	NOUN	9	nsubj
3	v	ADP	4	case
4	Praze	PROPN	2	nmod
5	proto	CCONJ	9	cc
6	17	NUM	8	nummod
7	.	PUNCT	6	punct
8	února	NOUN	9	obl
9	rozhodl	VERB	0	root
10	,	PUNCT	13	punct
11	že	SCONJ	13	mark
12	spis	NOUN	13	obj
13	odešle	VERB	9	ccomp
14	pražskému	ADJ	17	amod
15	krajskému	ADJ	17	amod
16	státnímu	ADJ	17	amod
17	zástupci	NOUN	13	obl:arg
18	,	PUNCT	21	punct
19	který	DET	21	nsubj
20	by	AUX	21	aux
21	měl	VERB	17	acl:relcl
22	rozhodnout	VERB	21	xcomp
23	o	ADP	25	case
24	dalším	ADJ	25	amod
25	osudu	NOUN	22	obl:arg
26	kauzy	NOUN	25	nmod
27	.	PUNCT	9	punct