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: Celkově vykazuje ČR s touto skupinou států za prvních šest měsíců roku aktivum ve výši 0.8 mld. Kč a náš vývoz do těchto zemí v uvedeném období vzrostl o 30.5%, zatímco dovoz z nich klesl na jednu třetinu.
Position	Tokenization	UPOS	Head	Deprel
1	Celkově	ADV	2	advmod
2	vykazuje	VERB	0	root
3	ČR	PROPN	2	nsubj
4	s	ADP	6	case
5	touto	DET	6	det
6	skupinou	NOUN	2	obl
7	států	NOUN	6	nmod
8	za	ADP	11	case
9	prvních	ADJ	10	amod
10	šest	NUM	11	nummod:gov
11	měsíců	NOUN	2	obl
12	roku	NOUN	11	nmod
13	aktivum	NOUN	2	obj
14	ve	ADP	15	case
15	výši	NOUN	13	nmod
16	0.8	NUM	15	nummod
17	mld	NOUN	16	nmod
18	.	PUNCT	17	punct
19	Kč	NOUN	16	nmod
20	a	CCONJ	29	cc
21	náš	DET	22	det
22	vývoz	NOUN	29	nsubj
23	do	ADP	25	case
24	těchto	DET	25	det
25	zemí	NOUN	22	nmod
26	v	ADP	28	case
27	uvedeném	ADJ	28	amod
28	období	NOUN	29	obl
29	vzrostl	VERB	2	conj
30	o	ADP	31	case
31	30.5	NUM	29	obl
32	%	SYM	31	nmod
33	,	PUNCT	38	punct
34	zatímco	SCONJ	38	mark
35	dovoz	NOUN	38	nsubj
36	z	ADP	37	case
37	nich	PRON	35	nmod
38	klesl	VERB	29	advcl
39	na	ADP	41	case
40	jednu	NUM	41	nummod
41	třetinu	NUM	38	obl:arg
42	.	PUNCT	2	punct