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: Většina získaných poznatků zatím představuje spíše kazuistiky než poznatky obecně platné, neboť - v důsledku již zmiňované vysoké proměnlivosti EEG jak u jednotlivce tak mezi různými jednotlivci - se statistická platnost pozorovaných závislostí těžko prokazuje.
Position	Tokenization	UPOS	Head	Deprel
1	Většina	NOUN	5	nsubj
2	získaných	ADJ	3	amod
3	poznatků	NOUN	1	nmod
4	zatím	ADV	5	advmod
5	představuje	VERB	0	root
6	spíše	ADV	5	advmod
7	kazuistiky	NOUN	5	obj
8	než	SCONJ	9	mark
9	poznatky	NOUN	6	advcl
10	obecně	ADV	11	advmod
11	platné	ADJ	9	amod
12	,	PUNCT	36	punct
13	neboť	CCONJ	36	cc
14	-	PUNCT	20	punct
15	v	ADP	20	case
16	důsledku	NOUN	15	fixed
17	již	ADV	18	advmod
18	zmiňované	ADJ	20	amod
19	vysoké	ADJ	20	amod
20	proměnlivosti	NOUN	36	obl
21	EEG	NOUN	20	nmod
22	jak	ADV	24	cc
23	u	ADP	24	case
24	jednotlivce	NOUN	21	obl
25	tak	ADV	28	cc
26	mezi	ADP	28	case
27	různými	ADJ	28	amod
28	jednotlivci	NOUN	24	conj
29	-	PUNCT	20	punct
30	se	PRON	36	expl:pass
31	statistická	ADJ	32	amod
32	platnost	NOUN	36	nsubj:pass
33	pozorovaných	ADJ	34	amod
34	závislostí	NOUN	32	nmod
35	těžko	ADV	36	advmod
36	prokazuje	VERB	5	conj
37	.	PUNCT	5	punct