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:
V thajském Bangkoku Profit narazil asi na tucet zástupců českých a slovenských firem, které se zabývají zejména dovozem textilu, konfekce a kožedělných výrobků.
Postion	Tokenization
1	V
2	thajském
3	Bangkoku
4	Profit
5	narazil
6	asi
7	na
8	tucet
9	zástupců
10	českých
11	a
12	slovenských
13	firem
14	,
15	které
16	se
17	zabývají
18	zejména
19	dovozem
20	textilu
21	,
22	konfekce
23	a
24	kožedělných
25	výrobků
26	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	thajském	ADJ	3	amod
3	Bangkoku	PROPN	5	obl
4	Profit	NOUN	5	nsubj
5	narazil	VERB	0	root
6	asi	PART	8	advmod:emph
7	na	ADP	8	case
8	tucet	NOUN	5	obl:arg
9	zástupců	NOUN	8	nmod
10	českých	ADJ	13	amod
11	a	CCONJ	12	cc
12	slovenských	ADJ	10	conj
13	firem	NOUN	9	nmod
14	,	PUNCT	17	punct
15	které	DET	17	nsubj
16	se	PRON	17	expl:pv
17	zabývají	VERB	13	acl:relcl
18	zejména	ADV	19	advmod:emph
19	dovozem	NOUN	17	obl:arg
20	textilu	NOUN	19	nmod
21	,	PUNCT	22	punct
22	konfekce	NOUN	20	conj
23	a	CCONJ	25	cc
24	kožedělných	ADJ	25	amod
25	výrobků	NOUN	20	conj
26	.	PUNCT	5	punct