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: Ministr svým upřímným cynickým prohlášením patrně zahájil zkázu doposud nadějné předvolební kampaně Fernanda Henriqua Cardosa- kandidáta za vládní Sociálně, demokratickou stranu do říjnových prezidentských voleb.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	7	nsubj
2	svým	DET	5	det
3	upřímným	ADJ	5	amod
4	cynickým	ADJ	5	amod
5	prohlášením	NOUN	7	obl
6	patrně	ADV	7	advmod
7	zahájil	VERB	0	root
8	zkázu	NOUN	7	obj
9	doposud	ADV	10	advmod
10	nadějné	ADJ	12	amod
11	předvolební	ADJ	12	amod
12	kampaně	NOUN	8	nmod
13	Fernanda	PROPN	12	nmod
14	Henriqua	PROPN	13	flat
15	Cardosa	PROPN	13	flat
16	-	PUNCT	17	punct
17	kandidáta	NOUN	13	appos
18	za	ADP	23	case
19	vládní	ADJ	23	amod
20	Sociálně	ADV	22	advmod
21	,	PUNCT	22	punct
22	demokratickou	ADJ	19	conj
23	stranu	NOUN	17	nmod
24	do	ADP	27	case
25	říjnových	ADJ	27	amod
26	prezidentských	ADJ	27	amod
27	voleb	NOUN	17	nmod
28	.	PUNCT	7	punct