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:
Ministr Kovács, který včera přijel na dvoudenní návštěvu České republiky, se také setkal s prezidentem Václavem Havlem a předsedou poslanecké sněmovny Milanem Uhdem.
Postion	Tokenization
1	Ministr
2	Kovács
3	,
4	který
5	včera
6	přijel
7	na
8	dvoudenní
9	návštěvu
10	České
11	republiky
12	,
13	se
14	také
15	setkal
16	s
17	prezidentem
18	Václavem
19	Havlem
20	a
21	předsedou
22	poslanecké
23	sněmovny
24	Milanem
25	Uhdem
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	15	nsubj
2	Kovács	PROPN	1	flat
3	,	PUNCT	6	punct
4	který	DET	6	nsubj
5	včera	ADV	6	advmod
6	přijel	VERB	1	acl:relcl
7	na	ADP	9	case
8	dvoudenní	ADJ	9	amod
9	návštěvu	NOUN	6	obl
10	České	ADJ	11	amod
11	republiky	NOUN	9	nmod
12	,	PUNCT	6	punct
13	se	PRON	15	expl:pv
14	také	ADV	15	advmod
15	setkal	VERB	0	root
16	s	ADP	17	case
17	prezidentem	NOUN	15	obl:arg
18	Václavem	PROPN	17	flat
19	Havlem	PROPN	17	flat
20	a	CCONJ	21	cc
21	předsedou	NOUN	17	conj
22	poslanecké	ADJ	23	amod
23	sněmovny	NOUN	21	nmod
24	Milanem	PROPN	21	flat
25	Uhdem	PROPN	21	flat
26	.	PUNCT	15	punct