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: Ačkoliv obrat našeho zahraničního obchodu za první pololetí tohoto roku vykázal oproti stejnému období roku loňského nárůst o 5.8%, patří Čína spolu s Egyptem a Tureckem mezi země s výrazným poklesem našeho vývozu.
Position	Tokenization	UPOS	Head	Deprel
1	Ačkoliv	SCONJ	11	mark
2	obrat	NOUN	11	nsubj
3	našeho	DET	5	det
4	zahraničního	ADJ	5	amod
5	obchodu	NOUN	2	nmod
6	za	ADP	8	case
7	první	ADJ	8	amod
8	pololetí	NOUN	11	obl
9	tohoto	DET	10	det
10	roku	NOUN	8	nmod
11	vykázal	VERB	22	advcl
12	oproti	ADP	14	case
13	stejnému	ADJ	14	amod
14	období	NOUN	11	obl
15	roku	NOUN	14	nmod
16	loňského	ADJ	15	amod
17	nárůst	NOUN	11	obj
18	o	ADP	19	case
19	5.8	NUM	17	nummod
20	%	SYM	19	nmod
21	,	PUNCT	11	punct
22	patří	VERB	0	root
23	Čína	PROPN	22	nsubj
24	spolu	ADV	26	case
25	s	ADP	24	fixed
26	Egyptem	PROPN	22	obl
27	a	CCONJ	28	cc
28	Tureckem	PROPN	26	conj
29	mezi	ADP	30	case
30	země	NOUN	22	obl
31	s	ADP	33	case
32	výrazným	ADJ	33	amod
33	poklesem	NOUN	30	nmod
34	našeho	DET	35	det
35	vývozu	NOUN	33	nmod
36	.	PUNCT	22	punct