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:
Jak dále uvedl, urazil ho projev Árpáda Duky Zólyomiho, v němž tento poslanec řekl, že někdy má pocit, jako by Maďar byl druhořadým občanem SR.
Postion	Tokenization
1	Jak
2	dále
3	uvedl
4	,
5	urazil
6	ho
7	projev
8	Árpáda
9	Duky
10	Zólyomiho
11	,
12	v
13	němž
14	tento
15	poslanec
16	řekl
17	,
18	že
19	někdy
20	má
21	pocit
22	,
23	jako
24	by
25	Maďar
26	byl
27	druhořadým
28	občanem
29	SR
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	3	advmod
2	dále	ADV	3	advmod
3	uvedl	VERB	5	parataxis
4	,	PUNCT	3	punct
5	urazil	VERB	0	root
6	ho	PRON	5	obj
7	projev	NOUN	5	nsubj
8	Árpáda	PROPN	7	nmod
9	Duky	PROPN	8	flat
10	Zólyomiho	PROPN	8	flat
11	,	PUNCT	16	punct
12	v	ADP	13	case
13	němž	PRON	16	obl
14	tento	DET	15	det
15	poslanec	NOUN	16	nsubj
16	řekl	VERB	7	acl:relcl
17	,	PUNCT	20	punct
18	že	SCONJ	20	mark
19	někdy	ADV	20	advmod
20	má	VERB	16	ccomp
21	pocit	NOUN	20	obj
22	,	PUNCT	28	punct
23	jako	SCONJ	28	mark
24	by	AUX	28	aux
25	Maďar	PROPN	28	nsubj
26	byl	AUX	28	cop
27	druhořadým	ADJ	28	amod
28	občanem	NOUN	21	advcl
29	SR	PROPN	28	nmod
30	.	PUNCT	5	punct