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:
Zejména pro ně jsou ideální počítače Apple Macintosh, které se vyznačují velmi snadnou obsluhou, jednoduchým propojováním s jinými počítači, plně českým prostředím.
Postion	Tokenization
1	Zejména
2	pro
3	ně
4	jsou
5	ideální
6	počítače
7	Apple
8	Macintosh
9	,
10	které
11	se
12	vyznačují
13	velmi
14	snadnou
15	obsluhou
16	,
17	jednoduchým
18	propojováním
19	s
20	jinými
21	počítači
22	,
23	plně
24	českým
25	prostředím
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Zejména	ADV	3	advmod:emph
2	pro	ADP	3	case
3	ně	PRON	5	obl
4	jsou	AUX	5	cop
5	ideální	ADJ	0	root
6	počítače	NOUN	5	nsubj
7	Apple	PROPN	6	nmod
8	Macintosh	PROPN	7	nmod
9	,	PUNCT	12	punct
10	které	DET	12	nsubj
11	se	PRON	12	expl:pv
12	vyznačují	VERB	6	acl:relcl
13	velmi	ADV	14	advmod
14	snadnou	ADJ	15	amod
15	obsluhou	NOUN	12	obl
16	,	PUNCT	18	punct
17	jednoduchým	ADJ	18	amod
18	propojováním	NOUN	15	conj
19	s	ADP	21	case
20	jinými	ADJ	21	amod
21	počítači	NOUN	18	nmod
22	,	PUNCT	25	punct
23	plně	ADV	24	advmod
24	českým	ADJ	25	amod
25	prostředím	NOUN	15	conj
26	.	PUNCT	5	punct