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: Přítomný poslanec sněmovny Jozef Wagner k tomu uvedl, že ČSSD se do dluhu dostat nemusela, nebýt bývalého horákovského vedení, které podle něho před volbami 1992 vyčerpalo finanční prostředky na mnoho let dopředu.
Position	Tokenization	UPOS	Head	Deprel
1	Přítomný	ADJ	2	amod
2	poslanec	NOUN	8	nsubj
3	sněmovny	NOUN	2	nmod
4	Jozef	PROPN	2	flat
5	Wagner	PROPN	2	flat
6	k	ADP	7	case
7	tomu	DET	8	obl
8	uvedl	VERB	0	root
9	,	PUNCT	16	punct
10	že	SCONJ	16	mark
11	ČSSD	PROPN	16	nsubj
12	se	PRON	15	expl:pv
13	do	ADP	14	case
14	dluhu	NOUN	15	obl
15	dostat	VERB	16	xcomp
16	nemusela	VERB	8	ccomp
17	,	PUNCT	18	punct
18	nebýt	VERB	16	advcl
19	bývalého	ADJ	21	amod
20	horákovského	ADJ	21	amod
21	vedení	NOUN	18	nsubj
22	,	PUNCT	29	punct
23	které	DET	29	nsubj
24	podle	ADP	25	case
25	něho	PRON	29	obl
26	před	ADP	27	case
27	volbami	NOUN	29	obl
28	1992	NUM	27	nummod
29	vyčerpalo	VERB	21	acl:relcl
30	finanční	ADJ	31	amod
31	prostředky	NOUN	29	obj
32	na	ADP	34	case
33	mnoho	DET	34	det:numgov
34	let	NOUN	31	nmod
35	dopředu	ADV	34	advmod
36	.	PUNCT	8	punct