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:
O prvním estonském prezidentovi rozhodne tedy parlament mezi dvěma nejúspěšnějšími, dosavadním předsedou parlamentu Arnoldem Rüütelem ( 42.67 procenta odevzdaných hlasů) a Lennartem Merim ( 28.77 procenta).
Postion	Tokenization
1	O
2	prvním
3	estonském
4	prezidentovi
5	rozhodne
6	tedy
7	parlament
8	mezi
9	dvěma
10	nejúspěšnějšími
11	,
12	dosavadním
13	předsedou
14	parlamentu
15	Arnoldem
16	Rüütelem
17	(
18	42.67
19	procenta
20	odevzdaných
21	hlasů
22	)
23	a
24	Lennartem
25	Merim
26	(
27	28.77
28	procenta
29	)
30	.
Position	Tokenization	UPOS	Head	Deprel
1	O	ADP	4	case
2	prvním	ADJ	4	amod
3	estonském	ADJ	4	amod
4	prezidentovi	NOUN	5	obl:arg
5	rozhodne	VERB	0	root
6	tedy	ADV	5	advmod
7	parlament	NOUN	5	nsubj
8	mezi	ADP	9	case
9	dvěma	NUM	5	obl:arg
10	nejúspěšnějšími	ADJ	9	amod
11	,	PUNCT	13	punct
12	dosavadním	ADJ	13	amod
13	předsedou	NOUN	9	appos
14	parlamentu	NOUN	13	nmod
15	Arnoldem	PROPN	13	flat
16	Rüütelem	PROPN	13	flat
17	(	PUNCT	13	punct
18	42.67	NUM	19	nummod:gov
19	procenta	NOUN	13	dep
20	odevzdaných	ADJ	21	amod
21	hlasů	NOUN	19	nmod
22	)	PUNCT	13	punct
23	a	CCONJ	24	cc
24	Lennartem	PROPN	13	conj
25	Merim	PROPN	24	flat
26	(	PUNCT	24	punct
27	28.77	NUM	28	nummod:gov
28	procenta	NOUN	24	dep
29	)	PUNCT	24	punct
30	.	PUNCT	5	punct