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:
Oba kroky, které podle očekávání vyvolají odpor Číny, přicházejí měsíc před tím, než prezident Clinton rozhodne o prodloužení obchodní doložky nejvyšších výhod Číně.
Postion	Tokenization
1	Oba
2	kroky
3	,
4	které
5	podle
6	očekávání
7	vyvolají
8	odpor
9	Číny
10	,
11	přicházejí
12	měsíc
13	před
14	tím
15	,
16	než
17	prezident
18	Clinton
19	rozhodne
20	o
21	prodloužení
22	obchodní
23	doložky
24	nejvyšších
25	výhod
26	Číně
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Oba	NUM	2	nummod
2	kroky	NOUN	11	nsubj
3	,	PUNCT	7	punct
4	které	DET	7	nsubj
5	podle	ADP	6	case
6	očekávání	NOUN	7	obl
7	vyvolají	VERB	2	acl:relcl
8	odpor	NOUN	7	obj
9	Číny	PROPN	8	nmod
10	,	PUNCT	7	punct
11	přicházejí	VERB	0	root
12	měsíc	NOUN	14	obl
13	před	ADP	14	case
14	tím	DET	11	obl
15	,	PUNCT	19	punct
16	než	SCONJ	19	mark
17	prezident	NOUN	19	nsubj
18	Clinton	PROPN	17	flat
19	rozhodne	VERB	14	acl
20	o	ADP	21	case
21	prodloužení	NOUN	19	obl:arg
22	obchodní	ADJ	23	amod
23	doložky	NOUN	21	nmod
24	nejvyšších	ADJ	25	amod
25	výhod	NOUN	23	nmod
26	Číně	PROPN	21	nmod
27	.	PUNCT	11	punct