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: Vzorek respondentů STEM je přibližně o třetinu větší, a tato agentura je také schopna díky jemnější metodice rychleji zachytit trendy ve vývoji popularity než IVVM a rovněž zmenšit rizika chyb.
Position	Tokenization	UPOS	Head	Deprel
1	Vzorek	NOUN	8	nsubj
2	respondentů	NOUN	1	nmod
3	STEM	PROPN	2	nmod
4	je	AUX	8	cop
5	přibližně	ADV	7	advmod:emph
6	o	ADP	7	case
7	třetinu	NUM	8	obl
8	větší	ADJ	0	root
9	,	PUNCT	15	punct
10	a	CCONJ	15	cc
11	tato	DET	12	det
12	agentura	NOUN	15	nsubj
13	je	AUX	15	cop
14	také	ADV	15	advmod
15	schopna	ADJ	8	conj
16	díky	ADP	18	case
17	jemnější	ADJ	18	amod
18	metodice	NOUN	20	obl
19	rychleji	ADV	20	advmod
20	zachytit	VERB	15	xcomp
21	trendy	NOUN	20	obj
22	ve	ADP	23	case
23	vývoji	NOUN	21	nmod
24	popularity	NOUN	23	nmod
25	než	SCONJ	26	mark
26	IVVM	PROPN	19	advcl
27	a	CCONJ	29	cc
28	rovněž	ADV	29	advmod
29	zmenšit	VERB	20	conj
30	rizika	NOUN	29	obj
31	chyb	NOUN	30	nmod
32	.	PUNCT	8	punct