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: Nejspíš je chyba, že se na našich univerzitách nevyučuje mytologie a religionistika, protože do populárního obrázku tzv. vědeckých či sociálních problémů této civilizace se skrytě promítá atrofované a sublimované náboženské cítění.
Position	Tokenization	UPOS	Head	Deprel
1	Nejspíš	ADV	3	advmod
2	je	AUX	3	cop
3	chyba	NOUN	0	root
4	,	PUNCT	10	punct
5	že	SCONJ	10	mark
6	se	PRON	10	expl:pass
7	na	ADP	9	case
8	našich	DET	9	det
9	univerzitách	NOUN	10	obl
10	nevyučuje	VERB	3	csubj
11	mytologie	NOUN	10	nsubj:pass
12	a	CCONJ	13	cc
13	religionistika	NOUN	11	conj
14	,	PUNCT	29	punct
15	protože	SCONJ	29	mark
16	do	ADP	18	case
17	populárního	ADJ	18	amod
18	obrázku	NOUN	29	obl
19	tzv	ADJ	24	amod
20	.	PUNCT	19	punct
21	vědeckých	ADJ	24	amod
22	či	CCONJ	23	cc
23	sociálních	ADJ	21	conj
24	problémů	NOUN	18	nmod
25	této	DET	26	det
26	civilizace	NOUN	24	nmod
27	se	PRON	29	expl:pv
28	skrytě	ADV	29	advmod
29	promítá	VERB	3	advcl
30	atrofované	ADJ	34	amod
31	a	CCONJ	32	cc
32	sublimované	ADJ	30	conj
33	náboženské	ADJ	34	amod
34	cítění	NOUN	29	nsubj
35	.	PUNCT	3	punct