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:
První Bushovou zastávkou je sice Austrálie, ale největší pozornost je upřena na návštěvy Japonska a Jižní Koreje, s nimiž mají USA největší obchodní problémy.
Postion	Tokenization
1	První
2	Bushovou
3	zastávkou
4	je
5	sice
6	Austrálie
7	,
8	ale
9	největší
10	pozornost
11	je
12	upřena
13	na
14	návštěvy
15	Japonska
16	a
17	Jižní
18	Koreje
19	,
20	s
21	nimiž
22	mají
23	USA
24	největší
25	obchodní
26	problémy
27	.
Position	Tokenization	UPOS	Head	Deprel
1	První	ADJ	3	amod
2	Bushovou	ADJ	3	amod
3	zastávkou	NOUN	0	root
4	je	AUX	3	cop
5	sice	ADV	12	cc
6	Austrálie	PROPN	3	nsubj
7	,	PUNCT	12	punct
8	ale	CCONJ	12	cc
9	největší	ADJ	10	amod
10	pozornost	NOUN	12	nsubj:pass
11	je	AUX	12	aux:pass
12	upřena	ADJ	3	conj
13	na	ADP	14	case
14	návštěvy	NOUN	12	obl
15	Japonska	PROPN	14	nmod
16	a	CCONJ	18	cc
17	Jižní	ADJ	18	amod
18	Koreje	PROPN	15	conj
19	,	PUNCT	22	punct
20	s	ADP	21	case
21	nimiž	PRON	26	nmod
22	mají	VERB	14	acl:relcl
23	USA	PROPN	22	nsubj
24	největší	ADJ	26	amod
25	obchodní	ADJ	26	amod
26	problémy	NOUN	22	obj
27	.	PUNCT	3	punct