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:
Reagovala tak na rozhodnutí pákistánských úřadů, které hodinu předtím obvinily ze špionáže jednoho z členů indické diplomatické mise v Pákistánu a vypověděly ho ze země.
Postion	Tokenization
1	Reagovala
2	tak
3	na
4	rozhodnutí
5	pákistánských
6	úřadů
7	,
8	které
9	hodinu
10	předtím
11	obvinily
12	ze
13	špionáže
14	jednoho
15	z
16	členů
17	indické
18	diplomatické
19	mise
20	v
21	Pákistánu
22	a
23	vypověděly
24	ho
25	ze
26	země
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Reagovala	VERB	0	root
2	tak	ADV	1	advmod
3	na	ADP	4	case
4	rozhodnutí	NOUN	1	obl:arg
5	pákistánských	ADJ	6	amod
6	úřadů	NOUN	4	nmod
7	,	PUNCT	11	punct
8	které	DET	11	nsubj
9	hodinu	NOUN	11	obl
10	předtím	ADV	9	advmod
11	obvinily	VERB	6	acl:relcl
12	ze	ADP	13	case
13	špionáže	NOUN	11	obl:arg
14	jednoho	NUM	11	obj
15	z	ADP	16	case
16	členů	NOUN	14	nmod
17	indické	ADJ	19	amod
18	diplomatické	ADJ	19	amod
19	mise	NOUN	16	nmod
20	v	ADP	21	case
21	Pákistánu	PROPN	19	nmod
22	a	CCONJ	23	cc
23	vypověděly	VERB	11	conj
24	ho	PRON	23	obj
25	ze	ADP	26	case
26	země	NOUN	23	obl
27	.	PUNCT	1	punct