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:
IBM se od samého začátku orientovala na profesionálního uživatele, čemuž odpovídal jak výkon IBM PC, tak způsob jeho prodeje.
Postion	Tokenization
1	IBM
2	se
3	od
4	samého
5	začátku
6	orientovala
7	na
8	profesionálního
9	uživatele
10	,
11	čemuž
12	odpovídal
13	jak
14	výkon
15	IBM
16	PC
17	,
18	tak
19	způsob
20	jeho
21	prodeje
22	.
Position	Tokenization	UPOS	Head	Deprel
1	IBM	PROPN	6	nsubj
2	se	PRON	6	expl:pv
3	od	ADP	5	case
4	samého	PRON	5	nmod
5	začátku	NOUN	6	obl
6	orientovala	VERB	0	root
7	na	ADP	9	case
8	profesionálního	ADJ	9	amod
9	uživatele	NOUN	6	obl:arg
10	,	PUNCT	12	punct
11	čemuž	PRON	12	obl:arg
12	odpovídal	VERB	6	conj
13	jak	SCONJ	14	cc
14	výkon	NOUN	12	nsubj
15	IBM	PROPN	16	nmod
16	PC	PROPN	14	nmod
17	,	PUNCT	19	punct
18	tak	CCONJ	19	cc
19	způsob	NOUN	14	conj
20	jeho	DET	21	det
21	prodeje	NOUN	19	nmod
22	.	PUNCT	6	punct