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:
Přímočarostí svých kolegů byl zaskočen i Vladimír Mečiar, když se s Václavem Klausem připojili ke zbytku delegací a dověděli se, o čem je vlastně řeč.
Postion	Tokenization
1	Přímočarostí
2	svých
3	kolegů
4	byl
5	zaskočen
6	i
7	Vladimír
8	Mečiar
9	,
10	když
11	se
12	s
13	Václavem
14	Klausem
15	připojili
16	ke
17	zbytku
18	delegací
19	a
20	dověděli
21	se
22	,
23	o
24	čem
25	je
26	vlastně
27	řeč
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Přímočarostí	NOUN	5	obl:arg
2	svých	DET	3	det
3	kolegů	NOUN	1	nmod
4	byl	AUX	5	aux:pass
5	zaskočen	ADJ	0	root
6	i	CCONJ	7	advmod:emph
7	Vladimír	PROPN	5	nsubj:pass
8	Mečiar	PROPN	7	flat
9	,	PUNCT	15	punct
10	když	SCONJ	15	mark
11	se	PRON	15	expl:pv
12	s	ADP	13	case
13	Václavem	PROPN	15	obl
14	Klausem	PROPN	13	flat
15	připojili	VERB	5	advcl
16	ke	ADP	17	case
17	zbytku	NOUN	15	obl:arg
18	delegací	NOUN	17	nmod
19	a	CCONJ	20	cc
20	dověděli	VERB	15	conj
21	se	PRON	20	expl:pv
22	,	PUNCT	25	punct
23	o	ADP	24	case
24	čem	PRON	27	nmod
25	je	VERB	20	ccomp
26	vlastně	ADV	25	advmod
27	řeč	NOUN	25	nsubj
28	.	PUNCT	5	punct