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: Rozdíly volebních preferencí v průzkumech veřejného mínění Střediska empirických výzkumů (STEM) a Institutu pro výzkum veřejného mínění (IVVM) nejsou podle jejich pracovníků natolik dramatické, aby je bylo potřebné zvlášť komentovat.
Position	Tokenization	UPOS	Head	Deprel
1	Rozdíly	NOUN	28	nsubj
2	volebních	ADJ	3	amod
3	preferencí	NOUN	1	nmod
4	v	ADP	5	case
5	průzkumech	NOUN	3	nmod
6	veřejného	ADJ	7	amod
7	mínění	NOUN	5	nmod
8	Střediska	NOUN	5	nmod
9	empirických	ADJ	10	amod
10	výzkumů	NOUN	8	nmod
11	(	PUNCT	12	punct
12	STEM	PROPN	8	appos
13	)	PUNCT	12	punct
14	a	CCONJ	15	cc
15	Institutu	NOUN	8	conj
16	pro	ADP	17	case
17	výzkum	NOUN	15	nmod
18	veřejného	ADJ	19	amod
19	mínění	NOUN	17	nmod
20	(	PUNCT	21	punct
21	IVVM	PROPN	15	appos
22	)	PUNCT	21	punct
23	nejsou	AUX	28	cop
24	podle	ADP	26	case
25	jejich	DET	26	det
26	pracovníků	NOUN	28	obl
27	natolik	ADV	28	advmod
28	dramatické	ADJ	0	root
29	,	PUNCT	34	punct
30	aby	_	None	_
31	aby	SCONJ	34	mark
32	by	AUX	34	aux
33	je	PRON	36	obj
34	bylo	AUX	34	cop
35	potřebné	ADJ	28	advcl
36	zvlášť	ADV	36	advmod
37	komentovat	VERB	34	csubj
38	.	PUNCT	28	punct