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:
V Praze například došlo za tyto dny "jen" k 126 případům krádeží vloupáním (celková škoda - 3951000 korun) a v policejní cele skončil jen jeden pachatel.
Postion	Tokenization
1	V
2	Praze
3	například
4	došlo
5	za
6	tyto
7	dny
8	"
9	jen
10	"
11	k
12	126
13	případům
14	krádeží
15	vloupáním
16	(
17	celková
18	škoda
19	-
20	3951000
21	korun
22	)
23	a
24	v
25	policejní
26	cele
27	skončil
28	jen
29	jeden
30	pachatel
31	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Praze	PROPN	4	obl
3	například	ADV	4	advmod
4	došlo	VERB	0	root
5	za	ADP	7	case
6	tyto	DET	7	det
7	dny	NOUN	4	obl
8	"	PUNCT	9	punct
9	jen	PART	12	advmod:emph
10	"	PUNCT	9	punct
11	k	ADP	13	case
12	126	NUM	13	nummod
13	případům	NOUN	4	obl:arg
14	krádeží	NOUN	13	nmod
15	vloupáním	NOUN	14	nmod
16	(	PUNCT	21	punct
17	celková	ADJ	18	amod
18	škoda	NOUN	21	nsubj
19	-	PUNCT	21	punct
20	3951000	NUM	21	nummod:gov
21	korun	NOUN	4	parataxis
22	)	PUNCT	21	punct
23	a	CCONJ	27	cc
24	v	ADP	26	case
25	policejní	ADJ	26	amod
26	cele	NOUN	27	obl
27	skončil	VERB	4	conj
28	jen	PART	29	advmod:emph
29	jeden	NUM	30	nummod
30	pachatel	NOUN	27	nsubj
31	.	PUNCT	4	punct