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: Aby Trabura dosáhl malířského gesta Střížkova či Mainerova (k jejichž obrazům lze jeho díla na první pohled přirovnávat), nesměl by v sobě mít dvojníka-našeptávače, který ho podivně tlumí v rozletu.
Position	Tokenization	UPOS	Head	Deprel
1	Aby	_	None	_
2	Aby	SCONJ	4	mark
3	by	AUX	4	aux
4	Trabura	PROPN	4	nsubj
5	dosáhl	VERB	23	advcl
6	malířského	ADJ	6	amod
7	gesta	NOUN	4	obl:arg
8	Střížkova	ADJ	6	amod
9	či	CCONJ	9	cc
10	Mainerova	ADJ	7	conj
11	(	PUNCT	14	punct
12	k	ADP	13	case
13	jejichž	DET	13	det
14	obrazům	NOUN	20	obl:arg
15	lze	VERB	7	acl:relcl
16	jeho	DET	16	det
17	díla	NOUN	20	obj
18	na	ADP	19	case
19	první	ADJ	19	amod
20	pohled	NOUN	20	obl
21	přirovnávat	VERB	14	csubj
22	)	PUNCT	14	punct
23	,	PUNCT	4	punct
24	nesměl	VERB	0	root
25	by	AUX	23	aux
26	v	ADP	26	case
27	sobě	PRON	27	obl
28	mít	VERB	23	xcomp
29	dvojníka	NOUN	27	obj
30	-	PUNCT	30	punct
31	našeptávače	NOUN	28	appos
32	,	PUNCT	35	punct
33	který	DET	35	nsubj
34	ho	PRON	35	obj
35	podivně	ADV	35	advmod
36	tlumí	VERB	30	acl:relcl
37	v	ADP	37	case
38	rozletu	NOUN	35	obl
39	.	PUNCT	23	punct