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:
ČR je podle něho v tomto ohledu výjimečná ve srovnání s okolními zeměmi střední Evropy, protože česká ekonomika v současnosti vykazuje velice dobré výsledky.
Postion	Tokenization
1	ČR
2	je
3	podle
4	něho
5	v
6	tomto
7	ohledu
8	výjimečná
9	ve
10	srovnání
11	s
12	okolními
13	zeměmi
14	střední
15	Evropy
16	,
17	protože
18	česká
19	ekonomika
20	v
21	současnosti
22	vykazuje
23	velice
24	dobré
25	výsledky
26	.
Position	Tokenization	UPOS	Head	Deprel
1	ČR	PROPN	8	nsubj
2	je	AUX	8	cop
3	podle	ADP	4	case
4	něho	PRON	8	obl
5	v	ADP	7	case
6	tomto	DET	7	det
7	ohledu	NOUN	8	obl
8	výjimečná	ADJ	0	root
9	ve	ADP	13	case
10	srovnání	NOUN	9	fixed
11	s	ADP	9	fixed
12	okolními	ADJ	13	amod
13	zeměmi	NOUN	8	obl
14	střední	ADJ	15	amod
15	Evropy	PROPN	13	nmod
16	,	PUNCT	22	punct
17	protože	SCONJ	22	mark
18	česká	ADJ	19	amod
19	ekonomika	NOUN	22	nsubj
20	v	ADP	21	case
21	současnosti	NOUN	22	obl
22	vykazuje	VERB	8	advcl
23	velice	ADV	24	advmod
24	dobré	ADJ	25	amod
25	výsledky	NOUN	22	obj
26	.	PUNCT	8	punct