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: Nebudu očividně přetížený úřad zatěžovat dalšími suplikami, stejně mám díky jeho průtahům předplaceno na několik měsíců dopředu, vlastně bych už nemusel platit vůbec nic a ještě mi několik tisíc budou vracet, až z daňového přiznání zjistí mé skutečné příjmy, našeptává selský rozum.
Position	Tokenization	UPOS	Head	Deprel
1	Nebudu	AUX	5	aux
2	očividně	ADV	3	advmod
3	přetížený	ADJ	4	amod
4	úřad	NOUN	5	obj
5	zatěžovat	VERB	44	ccomp
6	dalšími	ADJ	7	amod
7	suplikami	NOUN	5	obl:arg
8	,	PUNCT	10	punct
9	stejně	ADV	10	advmod
10	mám	VERB	5	conj
11	díky	ADP	13	case
12	jeho	DET	13	det
13	průtahům	NOUN	10	obl
14	předplaceno	ADJ	10	obj
15	na	ADP	17	case
16	několik	DET	17	det:numgov
17	měsíců	NOUN	14	obl
18	dopředu	ADV	14	advmod
19	,	PUNCT	23	punct
20	vlastně	ADV	23	advmod
21	bych	AUX	23	aux
22	už	ADV	23	advmod:emph
23	nemusel	VERB	5	conj
24	platit	VERB	23	xcomp
25	vůbec	ADV	26	advmod:emph
26	nic	PRON	24	obj
27	a	CCONJ	33	cc
28	ještě	ADV	33	advmod:emph
29	mi	PRON	33	obl:arg
30	několik	DET	33	obj
31	tisíc	NOUN	30	nmod
32	budou	AUX	33	aux
33	vracet	VERB	5	conj
34	,	PUNCT	39	punct
35	až	SCONJ	39	mark
36	z	ADP	38	case
37	daňového	ADJ	38	amod
38	přiznání	NOUN	39	obl:arg
39	zjistí	VERB	33	advcl
40	mé	DET	42	det
41	skutečné	ADJ	42	amod
42	příjmy	NOUN	39	obj
43	,	PUNCT	5	punct
44	našeptává	VERB	0	root
45	selský	ADJ	46	amod
46	rozum	NOUN	44	nsubj
47	.	PUNCT	44	punct