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:
Jak nás včera informovala podporučík I. Brunová z plzeňské policie, banda 22 pachatelů má na svědomí téměř sto trestných činů s celkovou škodou asi 10 miliónů Kčs.
Postion	Tokenization
1	Jak
2	nás
3	včera
4	informovala
5	podporučík
6	I
7	.
8	Brunová
9	z
10	plzeňské
11	policie
12	,
13	banda
14	22
15	pachatelů
16	má
17	na
18	svědomí
19	téměř
20	sto
21	trestných
22	činů
23	s
24	celkovou
25	škodou
26	asi
27	10
28	miliónů
29	Kčs
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	4	advmod
2	nás	PRON	4	obj
3	včera	ADV	4	advmod
4	informovala	VERB	16	parataxis
5	podporučík	NOUN	6	nmod
6	I	PROPN	4	nsubj
7	.	PUNCT	6	punct
8	Brunová	PROPN	6	flat
9	z	ADP	11	case
10	plzeňské	ADJ	11	amod
11	policie	NOUN	6	nmod
12	,	PUNCT	4	punct
13	banda	NOUN	16	nsubj
14	22	NUM	15	nummod
15	pachatelů	NOUN	13	nmod
16	má	VERB	0	root
17	na	ADP	18	case
18	svědomí	NOUN	16	obl
19	téměř	ADV	20	advmod:emph
20	sto	NOUN	16	obj
21	trestných	ADJ	22	amod
22	činů	NOUN	20	nmod
23	s	ADP	25	case
24	celkovou	ADJ	25	amod
25	škodou	NOUN	20	nmod
26	asi	PART	27	advmod:emph
27	10	NUM	28	nummod:gov
28	miliónů	NOUN	25	nmod
29	Kčs	NOUN	28	nmod
30	.	PUNCT	16	punct