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: Stačí jen uvést, jak je tato otázka středem zájmu v různých proudech hnutí New Age, a pak okolnost, že hrdina nejčtenějšího českého románu posledního desetiletí, Nesnesitelné lehkosti bytí Milana Kundery, se zrodil z věty Einmal ist keinmal.
Position	Tokenization	UPOS	Head	Deprel
1	Stačí	VERB	0	root
2	jen	PART	3	advmod:emph
3	uvést	VERB	1	csubj
4	,	PUNCT	9	punct
5	jak	ADV	9	advmod
6	je	AUX	9	cop
7	tato	DET	8	det
8	otázka	NOUN	9	nsubj
9	středem	NOUN	3	ccomp
10	zájmu	NOUN	9	nmod
11	v	ADP	13	case
12	různých	ADJ	13	amod
13	proudech	NOUN	9	obl
14	hnutí	NOUN	13	nmod
15	New	ADJ	14	nmod
16	Age	PROPN	15	flat:foreign
17	,	PUNCT	9	punct
18	_	_	None	_
19	a	CCONJ	19	cc
20	pak	ADV	1	conj
21	okolnost	NOUN	19	orphan
22	,	PUNCT	37	punct
23	že	SCONJ	37	mark
24	hrdina	NOUN	37	nsubj
25	nejčtenějšího	ADJ	26	amod
26	českého	ADJ	26	amod
27	románu	NOUN	23	nmod
28	posledního	ADJ	28	amod
29	desetiletí	NOUN	26	nmod
30	,	PUNCT	31	punct
31	Nesnesitelné	ADJ	31	amod
32	lehkosti	NOUN	26	appos
33	bytí	NOUN	31	nmod
34	Milana	PROPN	26	nmod
35	Kundery	PROPN	33	flat
36	,	PUNCT	23	punct
37	se	PRON	37	expl:pv
38	zrodil	VERB	20	acl
39	z	ADP	39	case
40	věty	NOUN	37	obl
41	Einmal	ADV	39	acl
42	ist	VERB	40	flat:foreign
43	keinmal	ADV	40	flat:foreign
44	.	PUNCT	1	punct