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: Jak však experti uvedli, těchto případů bylo poměrně málo, takže nemohly ovlivnit celkový výsledek voleb, v nichž Zedillo Ponce zvítězil nad Diegem Fernándezem de Cevallose (PAN) v poměru 48 procent hlasů proti 31.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	4	advmod
2	však	CCONJ	4	cc
3	experti	NOUN	4	nsubj
4	uvedli	VERB	8	parataxis
5	,	PUNCT	4	punct
6	těchto	DET	7	det
7	případů	NOUN	8	nsubj
8	bylo	VERB	0	root
9	poměrně	ADV	10	advmod
10	málo	DET	7	det:numgov
11	,	PUNCT	13	punct
12	takže	SCONJ	13	mark
13	nemohly	VERB	8	advcl
14	ovlivnit	VERB	13	xcomp
15	celkový	ADJ	16	amod
16	výsledek	NOUN	14	obj
17	voleb	NOUN	16	nmod
18	,	PUNCT	23	punct
19	v	ADP	20	case
20	nichž	PRON	23	obl
21	Zedillo	PROPN	23	nsubj
22	Ponce	PROPN	21	flat
23	zvítězil	VERB	17	acl:relcl
24	nad	ADP	25	case
25	Diegem	PROPN	23	obl:arg
26	Fernándezem	PROPN	25	flat
27	de	ADP	25	flat
28	Cevallose	PROPN	25	flat
29	(	PUNCT	25	punct
30	PAN	PROPN	25	dep
31	)	PUNCT	25	punct
32	v	ADP	33	case
33	poměru	NOUN	23	obl
34	48	NUM	35	nummod:gov
35	procent	NOUN	33	nmod
36	hlasů	NOUN	35	nmod
37	proti	ADP	38	case
38	31	NUM	34	compound
39	.	PUNCT	8	punct