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: Na dotaz, proč to dělala, když se tím připravovala o slávu i o autorské honoráře, odpověděla literární podvodnice, že autorské honoráře jsou tak malé, že by jí nemohly vynahradit potěšení z jejího počínání.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	dotaz	NOUN	19	obl:arg
3	,	PUNCT	6	punct
4	proč	ADV	6	advmod
5	to	DET	6	obj
6	dělala	VERB	2	acl
7	,	PUNCT	11	punct
8	když	SCONJ	11	mark
9	se	PRON	11	obj
10	tím	DET	11	obl
11	připravovala	VERB	6	advcl
12	o	ADP	13	case
13	slávu	NOUN	11	obl:arg
14	i	CCONJ	17	cc
15	o	ADP	17	case
16	autorské	ADJ	17	amod
17	honoráře	NOUN	13	conj
18	,	PUNCT	11	punct
19	odpověděla	VERB	0	root
20	literární	ADJ	21	amod
21	podvodnice	NOUN	19	nsubj
22	,	PUNCT	28	punct
23	že	SCONJ	28	mark
24	autorské	ADJ	25	amod
25	honoráře	NOUN	28	nsubj
26	jsou	AUX	28	cop
27	tak	ADV	28	advmod
28	malé	ADJ	19	ccomp
29	,	PUNCT	33	punct
30	že	SCONJ	33	mark
31	by	AUX	33	aux
32	jí	PRON	34	obl:arg
33	nemohly	VERB	28	advcl
34	vynahradit	VERB	33	xcomp
35	potěšení	NOUN	34	obj
36	z	ADP	38	case
37	jejího	DET	38	det
38	počínání	NOUN	35	nmod
39	.	PUNCT	19	punct