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: Poukazování na geografickou vzdálenost v tomto případě příliš Číňany neuklidní, protože náš dovoz z ostatních států regionu (Tchaj- wanu, Hongkongu, Jižní Koreje, Singapuru a Malajsie) vzrostl v téže době o 30.5%.
Position	Tokenization	UPOS	Head	Deprel
1	Poukazování	NOUN	10	nsubj
2	na	ADP	4	case
3	geografickou	ADJ	4	amod
4	vzdálenost	NOUN	1	nmod
5	v	ADP	7	case
6	tomto	DET	7	det
7	případě	NOUN	10	obl
8	příliš	ADV	10	advmod
9	Číňany	PROPN	10	obj
10	neuklidní	VERB	0	root
11	,	PUNCT	33	punct
12	protože	SCONJ	33	mark
13	náš	DET	14	det
14	dovoz	NOUN	33	nsubj
15	z	ADP	17	case
16	ostatních	ADJ	17	amod
17	států	NOUN	14	nmod
18	regionu	NOUN	17	nmod
19	(	PUNCT	22	punct
20	Tchaj	ADJ	22	amod
21	-	PUNCT	20	punct
22	wanu	PROPN	17	appos
23	,	PUNCT	24	punct
24	Hongkongu	PROPN	22	conj
25	,	PUNCT	27	punct
26	Jižní	ADJ	27	amod
27	Koreje	PROPN	22	conj
28	,	PUNCT	29	punct
29	Singapuru	PROPN	22	conj
30	a	CCONJ	31	cc
31	Malajsie	PROPN	22	conj
32	)	PUNCT	22	punct
33	vzrostl	VERB	10	advcl
34	v	ADP	36	case
35	téže	DET	36	det
36	době	NOUN	33	obl
37	o	ADP	38	case
38	30.5	NUM	33	obl
39	%	SYM	38	nmod
40	.	PUNCT	10	punct