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: Když se původně v Benátkách r. 1987 posuzoval, západní odborníci se na něj dívali velice skepticky a většinou se domnívali, že Japonsku jde utilitárně především o to, pomocí brain drainu přilákat k sobě vědce jiných vyspělých států.
Position	Tokenization	UPOS	Head	Deprel
1	Když	SCONJ	9	mark
2	se	PRON	9	expl:pass
3	původně	ADV	9	advmod
4	v	ADP	5	case
5	Benátkách	PROPN	9	obl
6	r	NOUN	9	obl
7	.	PUNCT	6	punct
8	1987	NUM	6	nummod
9	posuzoval	VERB	16	advcl
10	,	PUNCT	9	punct
11	západní	ADJ	12	amod
12	odborníci	NOUN	16	nsubj
13	se	PRON	16	expl:pv
14	na	ADP	15	case
15	něj	PRON	16	obl:arg
16	dívali	VERB	0	root
17	velice	ADV	18	advmod
18	skepticky	ADV	16	advmod
19	a	CCONJ	22	cc
20	většinou	ADV	22	advmod
21	se	PRON	22	expl:pv
22	domnívali	VERB	16	conj
23	,	PUNCT	26	punct
24	že	SCONJ	26	mark
25	Japonsku	PROPN	26	obl:arg
26	jde	VERB	22	ccomp
27	utilitárně	ADV	26	advmod
28	především	ADV	30	advmod:emph
29	o	ADP	30	case
30	to	DET	26	obl:arg
31	,	PUNCT	35	punct
32	pomocí	ADP	34	case
33	brain	ADJ	34	obl
34	drainu	NOUN	35	nmod
35	přilákat	VERB	30	acl
36	k	ADP	37	case
37	sobě	PRON	35	obl:arg
38	vědce	NOUN	35	obj
39	jiných	ADJ	41	amod
40	vyspělých	ADJ	41	amod
41	států	NOUN	38	nmod
42	.	PUNCT	16	punct