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:
Trhu dominovala IBM, k dalším výrazným výrobcům patřily společnosti CDC, RCA, o něco později Burroughs, Amdahl a Cray Research.
Postion	Tokenization
1	Trhu
2	dominovala
3	IBM
4	,
5	k
6	dalším
7	výrazným
8	výrobcům
9	patřily
10	společnosti
11	CDC
12	,
13	RCA
14	_
15	,
16	o
17	něco
18	později
19	Burroughs
20	,
21	Amdahl
22	a
23	Cray
24	Research
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Trhu	NOUN	2	obl:arg
2	dominovala	VERB	0	root
3	IBM	PROPN	2	nsubj
4	,	PUNCT	9	punct
5	k	ADP	8	case
6	dalším	ADJ	8	amod
7	výrazným	ADJ	8	amod
8	výrobcům	NOUN	9	obl:arg
9	patřily	VERB	2	conj
10	společnosti	NOUN	9	nsubj
11	CDC	PROPN	10	nmod
12	,	PUNCT	13	punct
13	RCA	PROPN	11	conj
14	_	_	None	_
15	,	PUNCT	17	punct
16	o	ADP	16	case
17	něco	PRON	17	obl
18	později	ADV	9	conj
19	Burroughs	PROPN	17	orphan
20	,	PUNCT	20	punct
21	Amdahl	PROPN	18	conj
22	a	CCONJ	22	cc
23	Cray	ADJ	18	conj
24	Research	PROPN	22	flat:foreign
25	.	PUNCT	2	punct