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: Veřejnost je nejdřív zneklidněna, později šokována, když někteří vědci (např. K. A. Emanuel 1987) opakují, že vyšší teploty tropického oceánu způsobí bouře zhoubnější než dosavadní hurikány.
Position	Tokenization	UPOS	Head	Deprel
1	Veřejnost	NOUN	4	nsubj
2	je	AUX	4	cop
3	nejdřív	ADV	4	advmod
4	zneklidněna	ADJ	0	root
5	_	_	None	_
6	,	PUNCT	6	punct
7	později	ADV	4	conj
8	šokována	ADJ	6	orphan
9	,	PUNCT	22	punct
10	když	SCONJ	22	mark
11	někteří	DET	11	det
12	vědci	NOUN	22	nsubj
13	(	PUNCT	15	punct
14	např	ADV	15	cc
15	.	PUNCT	15	punct
16	K	PROPN	11	appos
17	.	PUNCT	15	punct
18	A	PROPN	15	flat
19	.	PUNCT	17	punct
20	Emanuel	PROPN	15	flat
21	1987	NUM	15	dep
22	)	PUNCT	15	punct
23	opakují	VERB	4	advcl
24	,	PUNCT	29	punct
25	že	SCONJ	29	mark
26	vyšší	ADJ	26	amod
27	teploty	NOUN	29	nsubj
28	tropického	ADJ	28	amod
29	oceánu	NOUN	26	nmod
30	způsobí	VERB	22	ccomp
31	bouře	NOUN	29	obj
32	zhoubnější	ADJ	30	amod
33	než	SCONJ	34	mark
34	dosavadní	ADJ	34	amod
35	hurikány	NOUN	31	advcl
36	.	PUNCT	4	punct