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 text: Gjuričová má za to, že i když je podíl rasově motivovaných trestných činů na celkové kriminalitě nevýznamný, "svým dopadem a obecnými následky jde o významný jev se společenskými a politickými dopady i mimo území ČR".
Position	Tokenization	UPOS	Head	Deprel
1	Gjuričová	PROPN	2	nsubj
2	má	VERB	0	root
3	za	ADP	4	case
4	to	DET	2	obl:arg
5	,	PUNCT	26	punct
6	že	SCONJ	26	mark
7	i	CCONJ	18	mark
8	když	SCONJ	7	fixed
9	je	AUX	18	cop
10	podíl	NOUN	18	nsubj
11	rasově	ADV	12	advmod
12	motivovaných	ADJ	14	amod
13	trestných	ADJ	14	amod
14	činů	NOUN	10	nmod
15	na	ADP	17	case
16	celkové	ADJ	17	amod
17	kriminalitě	NOUN	10	nmod
18	nevýznamný	ADJ	26	advcl
19	,	PUNCT	18	punct
20	"	PUNCT	26	punct
21	svým	DET	22	det
22	dopadem	NOUN	26	obl
23	a	CCONJ	25	cc
24	obecnými	ADJ	25	amod
25	následky	NOUN	22	conj
26	jde	VERB	4	acl
27	o	ADP	29	case
28	významný	ADJ	29	amod
29	jev	NOUN	26	obl:arg
30	se	ADP	34	case
31	společenskými	ADJ	34	amod
32	a	CCONJ	33	cc
33	politickými	ADJ	31	conj
34	dopady	NOUN	29	nmod
35	i	CCONJ	37	advmod:emph
36	mimo	ADP	37	case
37	území	NOUN	34	nmod
38	ČR	PROPN	37	nmod
39	"	PUNCT	26	punct
40	.	PUNCT	2	punct