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:
Na duševní stav Maďarů žijících ve Slovenské republice by velmi dobře zapůsobilo, kdyby byli požádáni o prominutí za křivdy způsobené po druhé světové válce.
Postion	Tokenization
1	Na
2	duševní
3	stav
4	Maďarů
5	žijících
6	ve
7	Slovenské
8	republice
9	by
10	velmi
11	dobře
12	zapůsobilo
13	,
14	kdyby
15	když
16	by
17	byli
18	požádáni
19	o
20	prominutí
21	za
22	křivdy
23	způsobené
24	po
25	druhé
26	světové
27	válce
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	duševní	ADJ	3	amod
3	stav	NOUN	12	obl:arg
4	Maďarů	PROPN	3	nmod
5	žijících	ADJ	4	amod
6	ve	ADP	8	case
7	Slovenské	ADJ	8	amod
8	republice	NOUN	5	obl
9	by	AUX	12	aux
10	velmi	ADV	11	advmod
11	dobře	ADV	12	advmod
12	zapůsobilo	VERB	0	root
13	,	PUNCT	17	punct
14	kdyby	_	None	_
15	když	SCONJ	17	mark
16	by	AUX	17	aux
17	byli	AUX	17	aux:pass
18	požádáni	ADJ	12	nsubj
19	o	ADP	19	case
20	prominutí	NOUN	17	obl:arg
21	za	ADP	21	case
22	křivdy	NOUN	19	nmod
23	způsobené	ADJ	21	amod
24	po	ADP	26	case
25	druhé	ADJ	26	amod
26	světové	ADJ	26	amod
27	válce	NOUN	22	obl
28	.	PUNCT	12	punct