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:
Anonymní telefonát na linku 158 brněnským policistům v pondělí kolem 22. hodiny oznámil, že v okolí Kuřimi na Brněnsku se pohybuje osobní motorové vozidlo červené barvy se zbraněmi.
Postion	Tokenization
1	Anonymní
2	telefonát
3	na
4	linku
5	158
6	brněnským
7	policistům
8	v
9	pondělí
10	kolem
11	22
12	.
13	hodiny
14	oznámil
15	,
16	že
17	v
18	okolí
19	Kuřimi
20	na
21	Brněnsku
22	se
23	pohybuje
24	osobní
25	motorové
26	vozidlo
27	červené
28	barvy
29	se
30	zbraněmi
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Anonymní	ADJ	2	amod
2	telefonát	NOUN	14	nsubj
3	na	ADP	4	case
4	linku	NOUN	2	nmod
5	158	NUM	4	nummod
6	brněnským	ADJ	7	amod
7	policistům	NOUN	2	nmod
8	v	ADP	9	case
9	pondělí	NOUN	14	obl
10	kolem	ADP	13	case
11	22	NUM	13	nummod
12	.	PUNCT	11	punct
13	hodiny	NOUN	14	obl
14	oznámil	VERB	0	root
15	,	PUNCT	23	punct
16	že	SCONJ	23	mark
17	v	ADP	18	case
18	okolí	NOUN	23	obl
19	Kuřimi	PROPN	18	nmod
20	na	ADP	21	case
21	Brněnsku	PROPN	19	nmod
22	se	PRON	23	expl:pv
23	pohybuje	VERB	14	ccomp
24	osobní	ADJ	26	amod
25	motorové	ADJ	26	amod
26	vozidlo	NOUN	23	nsubj
27	červené	ADJ	28	amod
28	barvy	NOUN	26	nmod
29	se	ADP	30	case
30	zbraněmi	NOUN	26	nmod
31	.	PUNCT	14	punct