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:
Naopak i v zájmu lidí žijících v pohraničí by mělo být, aby přes hranici nepřecházely ilegálně celé skupiny cizinců," řekl Radim Pražák.
Postion	Tokenization
1	Naopak
2	i
3	v
4	zájmu
5	lidí
6	žijících
7	v
8	pohraničí
9	by
10	mělo
11	být
12	,
13	aby
14	aby
15	by
16	přes
17	hranici
18	nepřecházely
19	ilegálně
20	celé
21	skupiny
22	cizinců
23	,
24	"
25	řekl
26	Radim
27	Pražák
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Naopak	ADV	10	advmod
2	i	CCONJ	4	advmod:emph
3	v	ADP	4	case
4	zájmu	NOUN	10	obl
5	lidí	NOUN	4	nmod
6	žijících	ADJ	5	amod
7	v	ADP	8	case
8	pohraničí	NOUN	6	obl
9	by	AUX	10	aux
10	mělo	VERB	24	ccomp
11	být	VERB	10	xcomp
12	,	PUNCT	17	punct
13	aby	_	None	_
14	aby	SCONJ	17	mark
15	by	AUX	17	aux
16	přes	ADP	16	case
17	hranici	NOUN	17	obl
18	nepřecházely	VERB	10	csubj
19	ilegálně	ADV	17	advmod
20	celé	ADJ	20	amod
21	skupiny	NOUN	17	nsubj
22	cizinců	NOUN	20	nmod
23	,	PUNCT	17	punct
24	"	PUNCT	10	punct
25	řekl	VERB	0	root
26	Radim	PROPN	24	nsubj
27	Pražák	PROPN	25	flat
28	.	PUNCT	24	punct