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: Vycházeje z toho, že ve skutečnosti v řadě případů ani nejlepší přírodovědec neví dost o podstatě problému, stejně tak jako nevzdělanec, cítí se ten druhý oprávněn vynášet o věcech soudy.
Position	Tokenization	UPOS	Head	Deprel
1	Vycházeje	VERB	25	xcomp
2	z	ADP	3	case
3	toho	DET	1	obl
4	,	PUNCT	14	punct
5	že	SCONJ	14	mark
6	ve	ADP	7	case
7	skutečnosti	NOUN	14	obl
8	v	ADP	9	case
9	řadě	NOUN	14	obl
10	případů	NOUN	9	nmod
11	ani	CCONJ	13	advmod:emph
12	nejlepší	ADJ	13	amod
13	přírodovědec	NOUN	14	nsubj
14	neví	VERB	3	acl
15	dost	ADV	14	obj
16	o	ADP	17	case
17	podstatě	NOUN	15	nmod
18	problému	NOUN	17	nmod
19	,	PUNCT	20	punct
20	stejně	ADV	14	advmod
21	tak	ADV	20	advmod
22	jako	SCONJ	23	mark
23	nevzdělanec	NOUN	20	advcl
24	,	PUNCT	14	punct
25	cítí	VERB	0	root
26	se	PRON	25	expl:pv
27	ten	DET	25	nsubj
28	druhý	ADJ	27	amod
29	oprávněn	ADJ	25	iobj
30	vynášet	VERB	29	xcomp
31	o	ADP	32	case
32	věcech	NOUN	33	nmod
33	soudy	NOUN	30	obj
34	.	PUNCT	25	punct