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:
Horkou novinkou na trhu jsou však procesory typu RISC (s omezenou sadou), k nimž patří například Alpha firmy Digital nebo PowerPC konsorcia IBM-Motorola-Apple.
Postion	Tokenization
1	Horkou
2	novinkou
3	na
4	trhu
5	jsou
6	však
7	procesory
8	typu
9	RISC
10	(
11	s
12	omezenou
13	sadou
14	)
15	,
16	k
17	nimž
18	patří
19	například
20	Alpha
21	firmy
22	Digital
23	nebo
24	PowerPC
25	konsorcia
26	IBM
27	-
28	Motorola
29	-
30	Apple
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Horkou	ADJ	2	amod
2	novinkou	NOUN	0	root
3	na	ADP	4	case
4	trhu	NOUN	2	nmod
5	jsou	AUX	2	cop
6	však	CCONJ	2	cc
7	procesory	NOUN	2	nsubj
8	typu	NOUN	7	nmod
9	RISC	NOUN	8	nmod
10	(	PUNCT	13	punct
11	s	ADP	13	case
12	omezenou	ADJ	13	amod
13	sadou	NOUN	8	appos
14	)	PUNCT	13	punct
15	,	PUNCT	18	punct
16	k	ADP	17	case
17	nimž	PRON	18	obl
18	patří	VERB	7	acl:relcl
19	například	ADV	20	advmod:emph
20	Alpha	PROPN	18	nsubj
21	firmy	NOUN	20	nmod
22	Digital	PROPN	21	nmod
23	nebo	CCONJ	24	cc
24	PowerPC	PROPN	20	conj
25	konsorcia	NOUN	24	nmod
26	IBM	PROPN	25	nmod
27	-	PUNCT	28	punct
28	Motorola	PROPN	26	conj
29	-	PUNCT	30	punct
30	Apple	PROPN	26	conj
31	.	PUNCT	2	punct