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:
Fidel Castro získává na masových útěcích svých spoluobčanů i jinak: jednak přidává potíže Spojeným státům, jednak konsoliduje svoji otřesenou moc.
Postion	Tokenization
1	Fidel
2	Castro
3	získává
4	na
5	masových
6	útěcích
7	svých
8	spoluobčanů
9	i
10	jinak
11	:
12	jednak
13	přidává
14	potíže
15	Spojeným
16	státům
17	,
18	jednak
19	konsoliduje
20	svoji
21	otřesenou
22	moc
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Fidel	PROPN	3	nsubj
2	Castro	PROPN	1	flat
3	získává	VERB	0	root
4	na	ADP	6	case
5	masových	ADJ	6	amod
6	útěcích	NOUN	3	obl
7	svých	DET	8	det
8	spoluobčanů	NOUN	6	nmod
9	i	CCONJ	10	advmod:emph
10	jinak	ADV	3	advmod
11	:	PUNCT	13	punct
12	jednak	CCONJ	13	cc
13	přidává	VERB	10	appos
14	potíže	NOUN	13	obj
15	Spojeným	ADJ	16	amod
16	státům	NOUN	13	obl:arg
17	,	PUNCT	19	punct
18	jednak	CCONJ	19	cc
19	konsoliduje	VERB	13	conj
20	svoji	DET	22	det
21	otřesenou	ADJ	22	amod
22	moc	NOUN	19	obj
23	.	PUNCT	3	punct