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:
Třetí z dlouhé řady devíti prezidentských kandidátů - Cuauthémoc Cárdenas Solórzano ze Strany demokratické revoluce - se s výsledkem voleb zjevně vyrovnat nehodlá.
Postion	Tokenization
1	Třetí
2	z
3	dlouhé
4	řady
5	devíti
6	prezidentských
7	kandidátů
8	-
9	Cuauthémoc
10	Cárdenas
11	Solórzano
12	ze
13	Strany
14	demokratické
15	revoluce
16	-
17	se
18	s
19	výsledkem
20	voleb
21	zjevně
22	vyrovnat
23	nehodlá
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Třetí	ADJ	23	nsubj
2	z	ADP	4	case
3	dlouhé	ADJ	4	amod
4	řady	NOUN	1	obl
5	devíti	NUM	7	nummod
6	prezidentských	ADJ	7	amod
7	kandidátů	NOUN	4	nmod
8	-	PUNCT	9	punct
9	Cuauthémoc	PROPN	1	appos
10	Cárdenas	PROPN	9	flat
11	Solórzano	PROPN	9	flat
12	ze	ADP	13	case
13	Strany	NOUN	9	nmod
14	demokratické	ADJ	15	amod
15	revoluce	NOUN	13	nmod
16	-	PUNCT	9	punct
17	se	PRON	22	expl:pv
18	s	ADP	19	case
19	výsledkem	NOUN	22	obl:arg
20	voleb	NOUN	19	nmod
21	zjevně	ADV	23	advmod
22	vyrovnat	VERB	23	xcomp
23	nehodlá	VERB	0	root
24	.	PUNCT	23	punct