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:
Varovná je ovšem další zpráva z Budapešti o vytvoření Komanda 16. září, jehož cílem bude pomstít "hanebný protimaďarský pogrom v Bratislavě".
Postion	Tokenization
1	Varovná
2	je
3	ovšem
4	další
5	zpráva
6	z
7	Budapešti
8	o
9	vytvoření
10	Komanda
11	16
12	.
13	září
14	,
15	jehož
16	cílem
17	bude
18	pomstít
19	"
20	hanebný
21	protimaďarský
22	pogrom
23	v
24	Bratislavě
25	"
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Varovná	ADJ	0	root
2	je	AUX	1	cop
3	ovšem	CCONJ	1	cc
4	další	ADJ	5	amod
5	zpráva	NOUN	1	nsubj
6	z	ADP	7	case
7	Budapešti	PROPN	5	nmod
8	o	ADP	9	case
9	vytvoření	NOUN	5	nmod
10	Komanda	NOUN	9	nmod
11	16	NUM	13	nummod
12	.	PUNCT	11	punct
13	září	NOUN	10	nmod
14	,	PUNCT	16	punct
15	jehož	DET	16	det
16	cílem	NOUN	10	acl:relcl
17	bude	AUX	16	cop
18	pomstít	VERB	16	csubj
19	"	PUNCT	22	punct
20	hanebný	ADJ	22	amod
21	protimaďarský	ADJ	22	amod
22	pogrom	NOUN	18	obj
23	v	ADP	24	case
24	Bratislavě	PROPN	22	nmod
25	"	PUNCT	22	punct
26	.	PUNCT	1	punct