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:
Premiér měl původně přijet už loni v listopadu, ale kvůli incidentu s ruskými turisty na varšavském nádraží Moskva návštěvu na protest odvolala.
Postion	Tokenization
1	Premiér
2	měl
3	původně
4	přijet
5	už
6	loni
7	v
8	listopadu
9	,
10	ale
11	kvůli
12	incidentu
13	s
14	ruskými
15	turisty
16	na
17	varšavském
18	nádraží
19	Moskva
20	návštěvu
21	na
22	protest
23	odvolala
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Premiér	NOUN	2	nsubj
2	měl	VERB	0	root
3	původně	ADV	2	advmod
4	přijet	VERB	2	xcomp
5	už	ADV	6	advmod:emph
6	loni	ADV	2	advmod
7	v	ADP	8	case
8	listopadu	NOUN	2	obl
9	,	PUNCT	23	punct
10	ale	CCONJ	23	cc
11	kvůli	ADP	12	case
12	incidentu	NOUN	23	obl
13	s	ADP	15	case
14	ruskými	ADJ	15	amod
15	turisty	NOUN	12	nmod
16	na	ADP	18	case
17	varšavském	ADJ	18	amod
18	nádraží	NOUN	12	nmod
19	Moskva	PROPN	23	nsubj
20	návštěvu	NOUN	23	obj
21	na	ADP	22	case
22	protest	NOUN	23	obl
23	odvolala	VERB	2	conj
24	.	PUNCT	2	punct