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:
Pod dykovským titulem Anebo (vydalo agilní nakladatelství Volvox Globator) se skrývají čtyři desítky básní, napsaných programově tak, jak píšou jiní.
Postion	Tokenization
1	Pod
2	dykovským
3	titulem
4	Anebo
5	(
6	vydalo
7	agilní
8	nakladatelství
9	Volvox
10	Globator
11	)
12	se
13	skrývají
14	čtyři
15	desítky
16	básní
17	,
18	napsaných
19	programově
20	tak
21	,
22	jak
23	píšou
24	jiní
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Pod	ADP	3	case
2	dykovským	ADJ	3	amod
3	titulem	NOUN	13	obl
4	Anebo	CCONJ	3	nmod
5	(	PUNCT	6	punct
6	vydalo	VERB	4	acl
7	agilní	ADJ	8	amod
8	nakladatelství	NOUN	6	nsubj
9	Volvox	ADJ	8	amod
10	Globator	PROPN	9	nmod
11	)	PUNCT	6	punct
12	se	PRON	13	expl:pass
13	skrývají	VERB	0	root
14	čtyři	NUM	15	nummod
15	desítky	NOUN	13	nsubj:pass
16	básní	NOUN	15	nmod
17	,	PUNCT	18	punct
18	napsaných	ADJ	16	amod
19	programově	ADV	18	advmod
20	tak	ADV	18	advmod
21	,	PUNCT	23	punct
22	jak	ADV	23	advmod
23	píšou	VERB	18	advcl
24	jiní	ADJ	23	nsubj
25	.	PUNCT	13	punct