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:
Jejich rozsáhlé možnosti na jedné straně a stále zřetelnější obrovské perspektivy trhu osobních počítačů na straně druhé se staly rozhodujícím impulsem pro nejvýznamnější počítačovou firmu vůbec- pro IBM.
Postion	Tokenization
1	Jejich
2	rozsáhlé
3	možnosti
4	na
5	jedné
6	straně
7	a
8	stále
9	zřetelnější
10	obrovské
11	perspektivy
12	trhu
13	osobních
14	počítačů
15	na
16	straně
17	druhé
18	se
19	staly
20	rozhodujícím
21	impulsem
22	pro
23	nejvýznamnější
24	počítačovou
25	firmu
26	vůbec
27	-
28	pro
29	IBM
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Jejich	DET	3	det
2	rozsáhlé	ADJ	3	amod
3	možnosti	NOUN	19	nsubj
4	na	ADP	6	case
5	jedné	NUM	6	nummod
6	straně	NOUN	3	nmod
7	a	CCONJ	11	cc
8	stále	ADV	9	advmod
9	zřetelnější	ADJ	11	amod
10	obrovské	ADJ	11	amod
11	perspektivy	NOUN	3	conj
12	trhu	NOUN	11	nmod
13	osobních	ADJ	14	amod
14	počítačů	NOUN	12	nmod
15	na	ADP	16	case
16	straně	NOUN	11	nmod
17	druhé	ADJ	16	amod
18	se	PRON	19	expl:pv
19	staly	VERB	0	root
20	rozhodujícím	ADJ	21	amod
21	impulsem	NOUN	19	obl:arg
22	pro	ADP	25	case
23	nejvýznamnější	ADJ	25	amod
24	počítačovou	ADJ	25	amod
25	firmu	NOUN	21	nmod
26	vůbec	ADV	23	advmod
27	-	PUNCT	29	punct
28	pro	ADP	29	case
29	IBM	PROPN	25	appos
30	.	PUNCT	19	punct