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:
Podle nejnovějších policejních statistik bylo v loňském roce provedeno 111914 vloupání s celkovou škodou přesahující 4.621 miliardy korun.
Postion	Tokenization
1	Podle
2	nejnovějších
3	policejních
4	statistik
5	bylo
6	v
7	loňském
8	roce
9	provedeno
10	111914
11	vloupání
12	s
13	celkovou
14	škodou
15	přesahující
16	4.621
17	miliardy
18	korun
19	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	4	case
2	nejnovějších	ADJ	4	amod
3	policejních	ADJ	4	amod
4	statistik	NOUN	9	obl
5	bylo	AUX	9	aux:pass
6	v	ADP	8	case
7	loňském	ADJ	8	amod
8	roce	NOUN	9	obl
9	provedeno	ADJ	0	root
10	111914	NUM	11	nummod:gov
11	vloupání	NOUN	9	nsubj:pass
12	s	ADP	14	case
13	celkovou	ADJ	14	amod
14	škodou	NOUN	11	nmod
15	přesahující	ADJ	14	amod
16	4.621	NUM	17	nummod
17	miliardy	NOUN	15	obl:arg
18	korun	NOUN	17	nmod
19	.	PUNCT	9	punct