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: Světy 2, které se kvantovými kočkami zabývají profesionálně, dokazují nad jiné přesvědčivě, že se bytí po naprostou většinu svého trvání chová nechaoticky, ale zato naprosto nečekaně.
Position	Tokenization	UPOS	Head	Deprel
1	Světy	NOUN	11	nsubj
2	2	NUM	1	nummod
3	,	PUNCT	8	punct
4	které	DET	8	nsubj
5	se	PRON	8	expl:pv
6	kvantovými	ADJ	7	amod
7	kočkami	NOUN	8	obl:arg
8	zabývají	VERB	1	acl:relcl
9	profesionálně	ADV	8	advmod
10	,	PUNCT	8	punct
11	dokazují	VERB	0	root
12	nad	ADP	13	case
13	jiné	ADJ	14	obl
14	přesvědčivě	ADV	11	advmod
15	,	PUNCT	24	punct
16	že	SCONJ	24	mark
17	se	PRON	24	expl:pv
18	bytí	NOUN	24	nsubj
19	po	ADP	21	case
20	naprostou	ADJ	21	amod
21	většinu	NOUN	24	obl
22	svého	DET	23	det
23	trvání	NOUN	21	nmod
24	chová	VERB	11	ccomp
25	nechaoticky	ADV	24	advmod
26	,	PUNCT	30	punct
27	ale	CCONJ	30	cc
28	zato	ADV	30	advmod
29	naprosto	ADV	30	advmod
30	nečekaně	ADV	25	conj
31	.	PUNCT	11	punct