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: Pro mě je jinak šťastný nápad kombinovat českou konverzaci s ruskou i jinojazyčnými překlady nadužit: znesnadňuje nejen komunikaci mezi revizorem a městečkem (což má svůj dobrý důvod), ale nechtěně i mezi jevištěm a hledištěm.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	2	case
2	mě	PRON	15	obl
3	je	AUX	15	cop
4	jinak	ADV	5	advmod
5	šťastný	ADJ	6	amod
6	nápad	NOUN	15	nsubj
7	kombinovat	VERB	6	acl
8	českou	ADJ	9	amod
9	konverzaci	NOUN	7	obj
10	s	ADP	11	case
11	ruskou	ADJ	7	dep
12	i	CCONJ	14	cc
13	jinojazyčnými	ADJ	14	amod
14	překlady	NOUN	11	conj
15	nadužit	ADJ	0	root
16	:	PUNCT	17	punct
17	znesnadňuje	VERB	15	conj
18	nejen	PART	19	advmod:emph
19	komunikaci	NOUN	17	obj
20	mezi	ADP	21	case
21	revizorem	NOUN	19	nmod
22	a	CCONJ	23	cc
23	městečkem	NOUN	21	conj
24	(	PUNCT	26	punct
25	což	PRON	26	nsubj
26	má	VERB	17	parataxis
27	svůj	DET	29	det
28	dobrý	ADJ	29	amod
29	důvod	NOUN	26	obj
30	)	PUNCT	26	punct
31	_	_	None	_
32	,	PUNCT	33	punct
33	ale	CCONJ	33	cc
34	nechtěně	ADV	17	conj
35	i	CCONJ	36	advmod:emph
36	mezi	ADP	36	case
37	jevištěm	NOUN	33	orphan
38	a	CCONJ	38	cc
39	hledištěm	NOUN	36	conj
40	.	PUNCT	15	punct