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: Náměstek ministra Martin Fendrych připustil včera v této souvislosti, že MV ČR jedná, vedle konzultací se sousedními státy, rovněž se slovenskou stranou o opětovném zavedení vízové povinnosti zejména pro občany Rumunska a zemí bývalého Sovětského svazu.
Position	Tokenization	UPOS	Head	Deprel
1	Náměstek	NOUN	5	nsubj
2	ministra	NOUN	1	nmod
3	Martin	PROPN	1	flat
4	Fendrych	PROPN	1	flat
5	připustil	VERB	0	root
6	včera	ADV	5	advmod
7	v	ADP	9	case
8	této	DET	9	det
9	souvislosti	NOUN	5	obl
10	,	PUNCT	14	punct
11	že	SCONJ	14	mark
12	MV	PROPN	14	nsubj
13	ČR	PROPN	12	nmod
14	jedná	VERB	5	ccomp
15	,	PUNCT	17	punct
16	vedle	ADP	17	case
17	konzultací	NOUN	14	obl
18	se	ADP	20	case
19	sousedními	ADJ	20	amod
20	státy	NOUN	17	nmod
21	,	PUNCT	17	punct
22	rovněž	ADV	14	advmod
23	se	ADP	25	case
24	slovenskou	ADJ	25	amod
25	stranou	NOUN	14	obl:arg
26	o	ADP	28	case
27	opětovném	ADJ	28	amod
28	zavedení	NOUN	14	obl:arg
29	vízové	ADJ	30	amod
30	povinnosti	NOUN	28	nmod
31	zejména	ADV	33	advmod:emph
32	pro	ADP	33	case
33	občany	NOUN	30	nmod
34	Rumunska	PROPN	33	nmod
35	a	CCONJ	36	cc
36	zemí	NOUN	34	conj
37	bývalého	ADJ	39	amod
38	Sovětského	ADJ	39	amod
39	svazu	NOUN	36	nmod
40	.	PUNCT	5	punct