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:
Příchod nové vlny marxistických revolucí ve světě předpověděl kubánský nejvyšší představitel Fidel Castro v rozhovoru, který poskytl svému příteli, bývalému nikaragujskému ministru vnitra Tomási Borgemu.
Postion	Tokenization
1	Příchod
2	nové
3	vlny
4	marxistických
5	revolucí
6	ve
7	světě
8	předpověděl
9	kubánský
10	nejvyšší
11	představitel
12	Fidel
13	Castro
14	v
15	rozhovoru
16	,
17	který
18	poskytl
19	svému
20	příteli
21	,
22	bývalému
23	nikaragujskému
24	ministru
25	vnitra
26	Tomási
27	Borgemu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Příchod	NOUN	8	obj
2	nové	ADJ	3	amod
3	vlny	NOUN	1	nmod
4	marxistických	ADJ	5	amod
5	revolucí	NOUN	3	nmod
6	ve	ADP	7	case
7	světě	NOUN	5	nmod
8	předpověděl	VERB	0	root
9	kubánský	ADJ	11	amod
10	nejvyšší	ADJ	11	amod
11	představitel	NOUN	8	nsubj
12	Fidel	PROPN	11	flat
13	Castro	PROPN	11	flat
14	v	ADP	15	case
15	rozhovoru	NOUN	8	obl
16	,	PUNCT	18	punct
17	který	DET	18	obj
18	poskytl	VERB	15	acl:relcl
19	svému	DET	20	det
20	příteli	NOUN	18	obl:arg
21	,	PUNCT	24	punct
22	bývalému	ADJ	24	amod
23	nikaragujskému	ADJ	24	amod
24	ministru	NOUN	20	appos
25	vnitra	NOUN	24	nmod
26	Tomási	PROPN	24	flat
27	Borgemu	PROPN	24	flat
28	.	PUNCT	8	punct