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:
Předseda ODA a místopředseda vlády Jan Kalvoda včera uvedl, že závěry parlamentní komise nejsou tak jednoznačné, jak je poslanci ve svých závěrech zformulovali.
Postion	Tokenization
1	Předseda
2	ODA
3	a
4	místopředseda
5	vlády
6	Jan
7	Kalvoda
8	včera
9	uvedl
10	,
11	že
12	závěry
13	parlamentní
14	komise
15	nejsou
16	tak
17	jednoznačné
18	,
19	jak
20	je
21	poslanci
22	ve
23	svých
24	závěrech
25	zformulovali
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Předseda	NOUN	6	nmod
2	ODA	PROPN	1	nmod
3	a	CCONJ	4	cc
4	místopředseda	NOUN	1	conj
5	vlády	NOUN	4	nmod
6	Jan	PROPN	9	nsubj
7	Kalvoda	PROPN	6	flat
8	včera	ADV	9	advmod
9	uvedl	VERB	0	root
10	,	PUNCT	17	punct
11	že	SCONJ	17	mark
12	závěry	NOUN	17	nsubj
13	parlamentní	ADJ	14	amod
14	komise	NOUN	12	nmod
15	nejsou	AUX	17	cop
16	tak	ADV	17	advmod
17	jednoznačné	ADJ	9	ccomp
18	,	PUNCT	19	punct
19	jak	ADV	17	advmod
20	je	PRON	25	obj
21	poslanci	NOUN	25	nsubj
22	ve	ADP	24	case
23	svých	DET	24	det
24	závěrech	NOUN	25	obl
25	zformulovali	VERB	19	advcl
26	.	PUNCT	9	punct