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:
Schůzka texaského miliardáře Rosse Perota se šéfem Bushovy předvolební kampaně Jamesem Bakerem oživila spekulace, že by se Perot mohl znovu vrátit do boje o prezidentský úřad.
Postion	Tokenization
1	Schůzka
2	texaského
3	miliardáře
4	Rosse
5	Perota
6	se
7	šéfem
8	Bushovy
9	předvolební
10	kampaně
11	Jamesem
12	Bakerem
13	oživila
14	spekulace
15	,
16	že
17	by
18	se
19	Perot
20	mohl
21	znovu
22	vrátit
23	do
24	boje
25	o
26	prezidentský
27	úřad
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Schůzka	NOUN	13	nsubj
2	texaského	ADJ	3	amod
3	miliardáře	NOUN	1	nmod
4	Rosse	PROPN	3	flat
5	Perota	PROPN	3	flat
6	se	ADP	7	case
7	šéfem	NOUN	1	nmod
8	Bushovy	ADJ	10	amod
9	předvolební	ADJ	10	amod
10	kampaně	NOUN	7	nmod
11	Jamesem	PROPN	7	flat
12	Bakerem	PROPN	7	flat
13	oživila	VERB	0	root
14	spekulace	NOUN	13	obj
15	,	PUNCT	20	punct
16	že	SCONJ	20	mark
17	by	AUX	20	aux
18	se	PRON	22	expl:pv
19	Perot	PROPN	20	nsubj
20	mohl	VERB	14	acl
21	znovu	ADV	22	advmod
22	vrátit	VERB	20	xcomp
23	do	ADP	24	case
24	boje	NOUN	22	obl
25	o	ADP	27	case
26	prezidentský	ADJ	27	amod
27	úřad	NOUN	24	nmod
28	.	PUNCT	13	punct