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:
Oddělení matematických strojů, které dr. Svoboda řídil, se postupně rozrůstalo, až nakonec vznikl Výzkumný ústav matematických strojů - známý VÚMS.
Postion	Tokenization
1	Oddělení
2	matematických
3	strojů
4	,
5	které
6	dr
7	.
8	Svoboda
9	řídil
10	,
11	se
12	postupně
13	rozrůstalo
14	,
15	až
16	nakonec
17	vznikl
18	Výzkumný
19	ústav
20	matematických
21	strojů
22	-
23	známý
24	VÚMS
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Oddělení	NOUN	13	nsubj
2	matematických	ADJ	3	amod
3	strojů	NOUN	1	nmod
4	,	PUNCT	9	punct
5	které	DET	9	obj
6	dr	NOUN	8	nmod
7	.	PUNCT	6	punct
8	Svoboda	PROPN	9	nsubj
9	řídil	VERB	1	acl:relcl
10	,	PUNCT	9	punct
11	se	PRON	13	expl:pv
12	postupně	ADV	13	advmod
13	rozrůstalo	VERB	0	root
14	,	PUNCT	17	punct
15	až	SCONJ	17	mark
16	nakonec	ADV	17	advmod
17	vznikl	VERB	13	advcl
18	Výzkumný	ADJ	19	amod
19	ústav	NOUN	17	nsubj
20	matematických	ADJ	21	amod
21	strojů	NOUN	19	nmod
22	-	PUNCT	24	punct
23	známý	ADJ	24	amod
24	VÚMS	PROPN	19	appos
25	.	PUNCT	13	punct