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:
Jaká šance se v tomto směru otevírá i pro české obchodníky a výrobce, o tom mnoho napoví reportáž redaktora Profitu, který Thajsko navštívil.
Postion	Tokenization
1	Jaká
2	šance
3	se
4	v
5	tomto
6	směru
7	otevírá
8	i
9	pro
10	české
11	obchodníky
12	a
13	výrobce
14	,
15	o
16	tom
17	mnoho
18	napoví
19	reportáž
20	redaktora
21	Profitu
22	,
23	který
24	Thajsko
25	navštívil
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Jaká	DET	2	det
2	šance	NOUN	7	nsubj:pass
3	se	PRON	7	expl:pass
4	v	ADP	6	case
5	tomto	DET	6	det
6	směru	NOUN	7	obl
7	otevírá	VERB	16	acl
8	i	CCONJ	11	advmod:emph
9	pro	ADP	11	case
10	české	ADJ	11	amod
11	obchodníky	NOUN	7	obl
12	a	CCONJ	13	cc
13	výrobce	NOUN	11	conj
14	,	PUNCT	7	punct
15	o	ADP	16	case
16	tom	DET	18	obl:arg
17	mnoho	DET	18	obj
18	napoví	VERB	0	root
19	reportáž	NOUN	18	nsubj
20	redaktora	NOUN	19	nmod
21	Profitu	NOUN	20	nmod
22	,	PUNCT	25	punct
23	který	DET	25	nsubj
24	Thajsko	PROPN	25	obj
25	navštívil	VERB	20	acl:relcl
26	.	PUNCT	18	punct