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:
Například lednová akce "Úklid", která měla odstranit kriminální živly z míst veřejnosti přístupných, jen v Praze přinesla snížení kriminality a zvýšení objasněnosti o osm procent proti loňsku.
Postion	Tokenization
1	Například
2	lednová
3	akce
4	"
5	Úklid
6	"
7	,
8	která
9	měla
10	odstranit
11	kriminální
12	živly
13	z
14	míst
15	veřejnosti
16	přístupných
17	,
18	jen
19	v
20	Praze
21	přinesla
22	snížení
23	kriminality
24	a
25	zvýšení
26	objasněnosti
27	o
28	osm
29	procent
30	proti
31	loňsku
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Například	ADV	3	advmod:emph
2	lednová	ADJ	3	amod
3	akce	NOUN	21	nsubj
4	"	PUNCT	5	punct
5	Úklid	NOUN	3	nmod
6	"	PUNCT	5	punct
7	,	PUNCT	9	punct
8	která	DET	9	nsubj
9	měla	VERB	3	acl:relcl
10	odstranit	VERB	9	xcomp
11	kriminální	ADJ	12	amod
12	živly	NOUN	10	obj
13	z	ADP	14	case
14	míst	NOUN	9	obl
15	veřejnosti	NOUN	16	obl:arg
16	přístupných	ADJ	14	amod
17	,	PUNCT	9	punct
18	jen	PART	20	advmod:emph
19	v	ADP	20	case
20	Praze	PROPN	21	obl
21	přinesla	VERB	0	root
22	snížení	NOUN	21	obj
23	kriminality	NOUN	22	nmod
24	a	CCONJ	25	cc
25	zvýšení	NOUN	22	conj
26	objasněnosti	NOUN	25	nmod
27	o	ADP	29	case
28	osm	NUM	29	nummod:gov
29	procent	NOUN	25	nmod
30	proti	ADP	31	case
31	loňsku	NOUN	21	obl
32	.	PUNCT	21	punct