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:
Začal hledat časně ráno, a když se zhruba po třech hodinách vrátil na místo, kde zaparkoval vozidlo za 1.5 milionu korun, nenašel nic.
Postion	Tokenization
1	Začal
2	hledat
3	časně
4	ráno
5	,
6	a
7	když
8	se
9	zhruba
10	po
11	třech
12	hodinách
13	vrátil
14	na
15	místo
16	,
17	kde
18	zaparkoval
19	vozidlo
20	za
21	1.5
22	milionu
23	korun
24	,
25	nenašel
26	nic
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Začal	VERB	0	root
2	hledat	VERB	1	xcomp
3	časně	ADV	4	advmod
4	ráno	ADV	1	advmod
5	,	PUNCT	25	punct
6	a	CCONJ	25	cc
7	když	SCONJ	13	mark
8	se	PRON	13	expl:pv
9	zhruba	ADV	12	advmod:emph
10	po	ADP	12	case
11	třech	NUM	12	nummod
12	hodinách	NOUN	13	obl
13	vrátil	VERB	25	advcl
14	na	ADP	15	case
15	místo	NOUN	13	obl
16	,	PUNCT	18	punct
17	kde	ADV	18	advmod
18	zaparkoval	VERB	15	acl:relcl
19	vozidlo	NOUN	18	obj
20	za	ADP	22	case
21	1.5	NUM	22	nummod:gov
22	milionu	NOUN	19	nmod
23	korun	NOUN	22	nmod
24	,	PUNCT	18	punct
25	nenašel	VERB	1	conj
26	nic	PRON	25	obj
27	.	PUNCT	1	punct