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 text: Pracoviště České obchodní inspekce ve Zlíně, které kontroluje jakost výrobků v okresech Zlín, Uherské Hradiště, Kroměříž, Hodonín a Břeclav už za "vodovou" zmrzlinu uložila několik pokut od tisíce do pěti tisíc korun.
Position	Tokenization	UPOS	Head	Deprel
1	Pracoviště	NOUN	30	nsubj
2	České	ADJ	4	amod
3	obchodní	ADJ	4	amod
4	inspekce	NOUN	1	nmod
5	ve	ADP	6	case
6	Zlíně	PROPN	4	nmod
7	,	PUNCT	9	punct
8	které	DET	9	nsubj
9	kontroluje	VERB	1	acl:relcl
10	jakost	NOUN	9	obj
11	výrobků	NOUN	10	nmod
12	v	ADP	13	case
13	okresech	NOUN	11	nmod
14	Zlín	PROPN	13	nmod
15	,	PUNCT	17	punct
16	Uherské	ADJ	17	amod
17	Hradiště	NOUN	14	conj
18	,	PUNCT	19	punct
19	Kroměříž	PROPN	14	conj
20	,	PUNCT	21	punct
21	Hodonín	PROPN	14	conj
22	a	CCONJ	23	cc
23	Břeclav	PROPN	14	conj
24	už	ADV	30	advmod
25	za	ADP	29	case
26	"	PUNCT	27	punct
27	vodovou	ADJ	29	amod
28	"	PUNCT	27	punct
29	zmrzlinu	NOUN	30	obl:arg
30	uložila	VERB	0	root
31	několik	DET	32	det:numgov
32	pokut	NOUN	30	obl
33	od	ADP	34	case
34	tisíce	NOUN	32	dep
35	do	ADP	38	case
36	pěti	NUM	37	compound
37	tisíc	NUM	38	nummod:gov
38	korun	NOUN	32	nmod
39	.	PUNCT	30	punct