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: Prezident zdůraznil, že bude prosazovat otevření asijských trhů pro americké zboží, protože "svobodný trh je dvousměrná ulice" a americké zboží musí mít na trhy konkurentů stejně volný přístup, jako má zahraniční zboží na trh USA.
Position	Tokenization	UPOS	Head	Deprel
1	Prezident	NOUN	2	nsubj
2	zdůraznil	VERB	0	root
3	,	PUNCT	6	punct
4	že	SCONJ	6	mark
5	bude	AUX	6	aux
6	prosazovat	VERB	2	ccomp
7	otevření	NOUN	6	obj
8	asijských	ADJ	9	amod
9	trhů	NOUN	7	nmod
10	pro	ADP	12	case
11	americké	ADJ	12	amod
12	zboží	NOUN	7	nmod
13	,	PUNCT	20	punct
14	protože	SCONJ	20	mark
15	"	PUNCT	20	punct
16	svobodný	ADJ	17	amod
17	trh	NOUN	20	nsubj
18	je	AUX	20	cop
19	dvousměrná	ADJ	20	amod
20	ulice	NOUN	6	advcl
21	"	PUNCT	20	punct
22	a	CCONJ	25	cc
23	americké	ADJ	24	amod
24	zboží	NOUN	25	nsubj
25	musí	VERB	20	conj
26	mít	VERB	25	xcomp
27	na	ADP	28	case
28	trhy	NOUN	32	nmod
29	konkurentů	NOUN	28	nmod
30	stejně	ADV	31	advmod
31	volný	ADJ	32	amod
32	přístup	NOUN	26	obj
33	,	PUNCT	35	punct
34	jako	SCONJ	35	mark
35	má	VERB	30	advcl
36	zahraniční	ADJ	37	amod
37	zboží	NOUN	35	nsubj
38	na	ADP	39	case
39	trh	NOUN	35	dep
40	USA	PROPN	39	nmod
41	.	PUNCT	2	punct