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:
Kina mezitím zaplavil laciný americký šunt, zakoupený podnikavci z distribučního kolosu, jejichž aktivita unikla reformátorům, zaujatým transformací tvůrčího sektoru.
Postion	Tokenization
1	Kina
2	mezitím
3	zaplavil
4	laciný
5	americký
6	šunt
7	,
8	zakoupený
9	podnikavci
10	z
11	distribučního
12	kolosu
13	,
14	jejichž
15	aktivita
16	unikla
17	reformátorům
18	,
19	zaujatým
20	transformací
21	tvůrčího
22	sektoru
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Kina	NOUN	3	obj
2	mezitím	ADV	3	advmod
3	zaplavil	VERB	0	root
4	laciný	ADJ	6	amod
5	americký	ADJ	6	amod
6	šunt	NOUN	3	nsubj
7	,	PUNCT	8	punct
8	zakoupený	ADJ	6	amod
9	podnikavci	NOUN	8	obl:arg
10	z	ADP	12	case
11	distribučního	ADJ	12	amod
12	kolosu	NOUN	9	nmod
13	,	PUNCT	16	punct
14	jejichž	DET	15	det
15	aktivita	NOUN	16	nsubj
16	unikla	VERB	9	acl:relcl
17	reformátorům	NOUN	16	obl:arg
18	,	PUNCT	19	punct
19	zaujatým	ADJ	17	amod
20	transformací	NOUN	19	obl:arg
21	tvůrčího	ADJ	22	amod
22	sektoru	NOUN	20	nmod
23	.	PUNCT	3	punct