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 text: Poválečné Československo mělo dobrou příležitost přidat se ke špičce vývoje světové výpočetní techniky - díky celkové vyspělosti ekonomiky, díky tradici přesného strojírenství a elektrotechnického průmyslu a v neposlední řadě i díky výjimečné osobnosti profesora Antonína Svobody.
Position	Tokenization	UPOS	Head	Deprel
1	Poválečné	ADJ	2	amod
2	Československo	PROPN	3	nsubj
3	mělo	VERB	0	root
4	dobrou	ADJ	5	amod
5	příležitost	NOUN	3	obj
6	přidat	VERB	5	acl
7	se	PRON	6	expl:pv
8	ke	ADP	9	case
9	špičce	NOUN	6	obl
10	vývoje	NOUN	9	nmod
11	světové	ADJ	13	amod
12	výpočetní	ADJ	13	amod
13	techniky	NOUN	10	nmod
14	-	PUNCT	17	punct
15	díky	ADP	17	case
16	celkové	ADJ	17	amod
17	vyspělosti	NOUN	6	obl
18	ekonomiky	NOUN	17	nmod
19	,	PUNCT	21	punct
20	díky	ADP	21	case
21	tradici	NOUN	17	conj
22	přesného	ADJ	23	amod
23	strojírenství	NOUN	21	nmod
24	a	CCONJ	26	cc
25	elektrotechnického	ADJ	26	amod
26	průmyslu	NOUN	23	conj
27	_	_	None	_
28	a	CCONJ	30	cc
29	v	ADP	30	case
30	neposlední	ADJ	30	amod
31	řadě	NOUN	17	conj
32	i	CCONJ	34	advmod:emph
33	díky	ADP	34	case
34	výjimečné	ADJ	34	amod
35	osobnosti	NOUN	30	orphan
36	profesora	NOUN	34	nmod
37	Antonína	PROPN	35	flat
38	Svobody	PROPN	35	flat
39	.	PUNCT	3	punct