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:
Znatelný pokles preferencí ODA v únorovém výzkumu agentury STEM chápe místopředseda aliance Daniel Kroupa jako reakci části sympatizantů na probíhající aféry ve sdělovacích prostředcích.
Postion	Tokenization
1	Znatelný
2	pokles
3	preferencí
4	ODA
5	v
6	únorovém
7	výzkumu
8	agentury
9	STEM
10	chápe
11	místopředseda
12	aliance
13	Daniel
14	Kroupa
15	jako
16	reakci
17	části
18	sympatizantů
19	na
20	probíhající
21	aféry
22	ve
23	sdělovacích
24	prostředcích
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Znatelný	ADJ	2	amod
2	pokles	NOUN	10	obj
3	preferencí	NOUN	2	nmod
4	ODA	PROPN	3	nmod
5	v	ADP	7	case
6	únorovém	ADJ	7	amod
7	výzkumu	NOUN	2	nmod
8	agentury	NOUN	7	nmod
9	STEM	NOUN	8	nmod
10	chápe	VERB	0	root
11	místopředseda	NOUN	10	nsubj
12	aliance	NOUN	11	nmod
13	Daniel	PROPN	11	flat
14	Kroupa	PROPN	11	flat
15	jako	SCONJ	16	mark
16	reakci	NOUN	2	xcomp
17	části	NOUN	16	nmod
18	sympatizantů	NOUN	17	nmod
19	na	ADP	21	case
20	probíhající	ADJ	21	amod
21	aféry	NOUN	16	nmod
22	ve	ADP	24	case
23	sdělovacích	ADJ	24	amod
24	prostředcích	NOUN	21	nmod
25	.	PUNCT	10	punct