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: Koncem února 1994 totiž údajně měli ve Společenském domě v Otrokovicích přinutit šestatřicetiletého podnikatele z okresu Brno-venkov Z. V., aby podepsal vyrovnání dlužního úpisu ve výši 1.5 milionu korun.
Position	Tokenization	UPOS	Head	Deprel
1	Koncem	NOUN	2	case
2	února	NOUN	6	obl
3	1994	NUM	2	nummod
4	totiž	ADV	6	advmod
5	údajně	ADV	6	advmod
6	měli	VERB	0	root
7	ve	ADP	9	case
8	Společenském	ADJ	9	amod
9	domě	NOUN	6	obl
10	v	ADP	11	case
11	Otrokovicích	PROPN	9	nmod
12	přinutit	VERB	6	xcomp
13	šestatřicetiletého	ADJ	14	amod
14	podnikatele	NOUN	20	nmod
15	z	ADP	16	case
16	okresu	NOUN	14	nmod
17	Brno	PROPN	16	nmod
18	-	PUNCT	19	punct
19	venkov	NOUN	17	nmod
20	Z	PROPN	12	obj
21	.	PUNCT	20	punct
22	V	PROPN	20	flat
23	.	PUNCT	20	punct
24	,	PUNCT	27	punct
25	aby	_	None	_
26	aby	SCONJ	27	mark
27	by	AUX	27	aux
28	podepsal	VERB	12	advcl
29	vyrovnání	NOUN	27	obj
30	dlužního	ADJ	30	amod
31	úpisu	NOUN	28	nmod
32	ve	ADP	32	case
33	výši	NOUN	30	nmod
34	1.5	NUM	34	nummod:gov
35	milionu	NOUN	32	nmod
36	korun	NOUN	34	nmod
37	.	PUNCT	6	punct