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:
Mjr. Jaroslav Skříčil se domnívá, že nejméně 30 policistů z Olomouce nemá dořešenu bytovou otázku, při náborech do policejních řad se samozřejmě byt nabídnout nemůže.
Postion	Tokenization
1	Mjr
2	.
3	Jaroslav
4	Skříčil
5	se
6	domnívá
7	,
8	že
9	nejméně
10	30
11	policistů
12	z
13	Olomouce
14	nemá
15	dořešenu
16	bytovou
17	otázku
18	,
19	při
20	náborech
21	do
22	policejních
23	řad
24	se
25	samozřejmě
26	byt
27	nabídnout
28	nemůže
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Mjr	NOUN	3	nmod
2	.	PUNCT	1	punct
3	Jaroslav	PROPN	6	nsubj
4	Skříčil	PROPN	3	flat
5	se	PRON	6	expl:pv
6	domnívá	VERB	0	root
7	,	PUNCT	14	punct
8	že	SCONJ	14	mark
9	nejméně	ADV	10	advmod:emph
10	30	NUM	11	nummod:gov
11	policistů	NOUN	14	nsubj
12	z	ADP	13	case
13	Olomouce	PROPN	11	nmod
14	nemá	VERB	6	ccomp
15	dořešenu	ADJ	17	xcomp
16	bytovou	ADJ	17	amod
17	otázku	NOUN	14	obj
18	,	PUNCT	28	punct
19	při	ADP	20	case
20	náborech	NOUN	28	obl
21	do	ADP	23	case
22	policejních	ADJ	23	amod
23	řad	NOUN	20	nmod
24	se	PRON	28	expl:pass
25	samozřejmě	ADV	28	advmod
26	byt	NOUN	28	nsubj:pass
27	nabídnout	VERB	28	xcomp
28	nemůže	VERB	14	conj
29	.	PUNCT	6	punct