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:
Za svého kandidáta na prezidenta do voleb, které se mají konat v květnu, zvolilo včera vedení strany Hnutí za novou společnost bývalého filipínského prezidenta F. Marcose jeho vdovu Imeldu
Postion	Tokenization
1	Za
2	svého
3	kandidáta
4	na
5	prezidenta
6	do
7	voleb
8	,
9	které
10	se
11	mají
12	konat
13	v
14	květnu
15	,
16	zvolilo
17	včera
18	vedení
19	strany
20	Hnutí
21	za
22	novou
23	společnost
24	bývalého
25	filipínského
26	prezidenta
27	F
28	.
29	Marcose
30	jeho
31	vdovu
32	Imeldu
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	3	case
2	svého	DET	3	det
3	kandidáta	NOUN	16	obl:arg
4	na	ADP	5	case
5	prezidenta	NOUN	3	nmod
6	do	ADP	7	case
7	voleb	NOUN	16	obl
8	,	PUNCT	11	punct
9	které	DET	11	nsubj
10	se	PRON	12	expl:pass
11	mají	VERB	7	acl:relcl
12	konat	VERB	11	xcomp
13	v	ADP	14	case
14	květnu	NOUN	11	obl
15	,	PUNCT	11	punct
16	zvolilo	VERB	0	root
17	včera	ADV	16	advmod
18	vedení	NOUN	16	nsubj
19	strany	NOUN	18	nmod
20	Hnutí	NOUN	19	nmod
21	za	ADP	23	case
22	novou	ADJ	23	amod
23	společnost	NOUN	20	nmod
24	bývalého	ADJ	26	amod
25	filipínského	ADJ	26	amod
26	prezidenta	NOUN	19	nmod
27	F	PROPN	26	flat
28	.	PUNCT	27	punct
29	Marcose	PROPN	26	flat
30	jeho	DET	31	det
31	vdovu	NOUN	16	obj
32	Imeldu	PROPN	31	flat