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: Obžaloba ji viní z toho, že padělala veřejné listiny, dále z pokusu o podvodné vylákání nemovitého majetku na Hradčanech a od řádu premonstrátů v Praze na Strahově v účetní ceně asi 43 miliónů korun.
Position	Tokenization	UPOS	Head	Deprel
1	Obžaloba	NOUN	3	nsubj
2	ji	PRON	3	obj
3	viní	VERB	0	root
4	z	ADP	5	case
5	toho	DET	3	obl:arg
6	,	PUNCT	8	punct
7	že	SCONJ	8	mark
8	padělala	VERB	5	acl
9	veřejné	ADJ	10	amod
10	listiny	NOUN	8	obj
11	_	_	None	_
12	,	PUNCT	12	punct
13	dále	ADV	3	conj
14	z	ADP	14	case
15	pokusu	NOUN	12	orphan
16	o	ADP	17	case
17	podvodné	ADJ	17	amod
18	vylákání	NOUN	14	nmod
19	nemovitého	ADJ	19	amod
20	majetku	NOUN	17	nmod
21	na	ADP	21	case
22	Hradčanech	PROPN	19	nmod
23	a	CCONJ	24	cc
24	od	ADP	24	case
25	řádu	NOUN	21	conj
26	premonstrátů	NOUN	24	nmod
27	v	ADP	27	case
28	Praze	PROPN	25	nmod
29	na	ADP	29	case
30	Strahově	PROPN	25	nmod
31	v	ADP	32	case
32	účetní	ADJ	32	amod
33	ceně	NOUN	19	nmod
34	asi	PART	34	advmod:emph
35	43	NUM	35	nummod:gov
36	miliónů	NOUN	32	nmod
37	korun	NOUN	35	nmod
38	.	PUNCT	3	punct