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:
Zbývajících 20 % je ostatní čas, v němž se skrývá například doba strávená na cestách, na chodbách, na obědě, ale i snaha někam se dovolat.
Postion	Tokenization
1	Zbývajících
2	20
3	%
4	je
5	ostatní
6	čas
7	,
8	v
9	němž
10	se
11	skrývá
12	například
13	doba
14	strávená
15	na
16	cestách
17	,
18	na
19	chodbách
20	,
21	na
22	obědě
23	,
24	ale
25	i
26	snaha
27	někam
28	se
29	dovolat
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Zbývajících	ADJ	2	amod
2	20	NUM	6	nsubj
3	%	SYM	2	nmod
4	je	AUX	6	cop
5	ostatní	ADJ	6	amod
6	čas	NOUN	0	root
7	,	PUNCT	11	punct
8	v	ADP	9	case
9	němž	PRON	11	obl
10	se	PRON	11	expl:pass
11	skrývá	VERB	6	acl:relcl
12	například	ADV	13	cc
13	doba	NOUN	11	nsubj:pass
14	strávená	ADJ	13	amod
15	na	ADP	16	case
16	cestách	NOUN	14	obl
17	,	PUNCT	19	punct
18	na	ADP	19	case
19	chodbách	NOUN	16	conj
20	,	PUNCT	22	punct
21	na	ADP	22	case
22	obědě	NOUN	16	conj
23	,	PUNCT	26	punct
24	ale	CCONJ	26	cc
25	i	CCONJ	26	cc
26	snaha	NOUN	13	conj
27	někam	ADV	29	advmod
28	se	PRON	29	expl:pv
29	dovolat	VERB	26	acl
30	.	PUNCT	6	punct