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: V článku Čechem za tři boženky říká spisovatel Karel Pecka, že vláda překročila mez únosné tolerance vůči imigrantům a oblíbený slogan Romů, že Češi jsou nejblbější gádžové Evropy, je plně oprávněný.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	článku	NOUN	7	obl
3	Čechem	PROPN	2	nmod
4	za	ADP	6	case
5	tři	NUM	6	nummod
6	boženky	NOUN	3	nmod
7	říká	VERB	0	root
8	spisovatel	NOUN	7	nsubj
9	Karel	PROPN	8	flat
10	Pecka	PROPN	8	flat
11	,	PUNCT	14	punct
12	že	SCONJ	14	mark
13	vláda	NOUN	14	nsubj
14	překročila	VERB	8	ccomp
15	mez	NOUN	14	obj
16	únosné	ADJ	17	amod
17	tolerance	NOUN	15	nmod
18	vůči	ADP	19	case
19	imigrantům	NOUN	17	nmod
20	a	CCONJ	34	cc
21	oblíbený	ADJ	22	amod
22	slogan	NOUN	34	nsubj
23	Romů	PROPN	22	nmod
24	,	PUNCT	29	punct
25	že	SCONJ	29	mark
26	Češi	PROPN	29	nsubj
27	jsou	AUX	29	cop
28	nejblbější	ADJ	29	amod
29	gádžové	PROPN	22	acl
30	Evropy	PROPN	29	nmod
31	,	PUNCT	29	punct
32	je	AUX	34	cop
33	plně	ADV	34	advmod
34	oprávněný	ADJ	14	conj
35	.	PUNCT	7	punct