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:
Americký prezident George Bush odletěl včera na 12denní cestu do Austrálie a Asie, která má podle jeho slov před odletem klíčový význam pro ekonomické povznesení USA.
Postion	Tokenization
1	Americký
2	prezident
3	George
4	Bush
5	odletěl
6	včera
7	na
8	12
9	denní
10	cestu
11	do
12	Austrálie
13	a
14	Asie
15	,
16	která
17	má
18	podle
19	jeho
20	slov
21	před
22	odletem
23	klíčový
24	význam
25	pro
26	ekonomické
27	povznesení
28	USA
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Americký	ADJ	2	amod
2	prezident	NOUN	5	nsubj
3	George	PROPN	2	flat
4	Bush	PROPN	2	flat
5	odletěl	VERB	0	root
6	včera	ADV	5	advmod
7	na	ADP	10	case
8	12	NUM	9	obl
9	denní	ADJ	10	amod
10	cestu	NOUN	5	obl
11	do	ADP	12	case
12	Austrálie	PROPN	10	nmod
13	a	CCONJ	14	cc
14	Asie	PROPN	12	conj
15	,	PUNCT	17	punct
16	která	DET	17	nsubj
17	má	VERB	10	acl:relcl
18	podle	ADP	20	case
19	jeho	DET	20	det
20	slov	NOUN	17	obl
21	před	ADP	22	case
22	odletem	NOUN	20	nmod
23	klíčový	ADJ	24	amod
24	význam	NOUN	17	obj
25	pro	ADP	27	case
26	ekonomické	ADJ	27	amod
27	povznesení	NOUN	24	nmod
28	USA	PROPN	27	nmod
29	.	PUNCT	5	punct