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:
Ze sametové, horké tropické tmy prostoupené neznámými zvuky i méně tajemným, ale vydatným kvákáním žab a cvrkotem cikád se vylouplo Kilimandžáro.
Postion	Tokenization
1	Ze
2	sametové
3	,
4	horké
5	tropické
6	tmy
7	prostoupené
8	neznámými
9	zvuky
10	i
11	méně
12	tajemným
13	,
14	ale
15	vydatným
16	kvákáním
17	žab
18	a
19	cvrkotem
20	cikád
21	se
22	vylouplo
23	Kilimandžáro
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Ze	ADP	6	case
2	sametové	ADJ	6	amod
3	,	PUNCT	4	punct
4	horké	ADJ	2	appos
5	tropické	ADJ	6	amod
6	tmy	NOUN	22	obl
7	prostoupené	ADJ	6	amod
8	neznámými	ADJ	9	amod
9	zvuky	NOUN	7	obl:arg
10	i	CCONJ	16	cc
11	méně	ADV	12	advmod
12	tajemným	ADJ	16	amod
13	,	PUNCT	15	punct
14	ale	CCONJ	15	cc
15	vydatným	ADJ	12	conj
16	kvákáním	NOUN	9	conj
17	žab	NOUN	16	nmod
18	a	CCONJ	19	cc
19	cvrkotem	NOUN	16	conj
20	cikád	NOUN	19	nmod
21	se	PRON	22	expl:pv
22	vylouplo	VERB	0	root
23	Kilimandžáro	PROPN	22	nsubj
24	.	PUNCT	22	punct