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 tokenized text:
Chadimová je také obžalována z maření výkonu úředního rozhodnutí, protože nerespektovala usnesení soudu o zajištění domu na pražském Loretánském náměstí a dále ho pronajímala.
Postion	Tokenization
1	Chadimová
2	je
3	také
4	obžalována
5	z
6	maření
7	výkonu
8	úředního
9	rozhodnutí
10	,
11	protože
12	nerespektovala
13	usnesení
14	soudu
15	o
16	zajištění
17	domu
18	na
19	pražském
20	Loretánském
21	náměstí
22	a
23	dále
24	ho
25	pronajímala
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Chadimová	PROPN	4	nsubj
2	je	AUX	4	cop
3	také	ADV	4	advmod
4	obžalována	ADJ	0	root
5	z	ADP	6	case
6	maření	NOUN	4	obl:arg
7	výkonu	NOUN	6	nmod
8	úředního	ADJ	9	amod
9	rozhodnutí	NOUN	7	nmod
10	,	PUNCT	12	punct
11	protože	SCONJ	12	mark
12	nerespektovala	VERB	4	advcl
13	usnesení	NOUN	12	obj
14	soudu	NOUN	13	nmod
15	o	ADP	16	case
16	zajištění	NOUN	13	nmod
17	domu	NOUN	16	nmod
18	na	ADP	21	case
19	pražském	ADJ	21	amod
20	Loretánském	ADJ	21	amod
21	náměstí	NOUN	17	nmod
22	a	CCONJ	25	cc
23	dále	ADV	25	advmod
24	ho	PRON	25	obj
25	pronajímala	VERB	12	conj
26	.	PUNCT	4	punct