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:
Tato země má jedny z nejosvícenějších vůdců v Africe, jenom nevíme, kde vždycky jsou, když lidé umírají jako mouchy."
Postion	Tokenization
1	Tato
2	země
3	má
4	jedny
5	z
6	nejosvícenějších
7	vůdců
8	v
9	Africe
10	,
11	jenom
12	nevíme
13	,
14	kde
15	vždycky
16	jsou
17	,
18	když
19	lidé
20	umírají
21	jako
22	mouchy
23	.
24	"
Position	Tokenization	UPOS	Head	Deprel
1	Tato	DET	2	det
2	země	NOUN	3	nsubj
3	má	VERB	0	root
4	jedny	ADJ	3	obj
5	z	ADP	7	case
6	nejosvícenějších	ADJ	7	amod
7	vůdců	NOUN	4	nmod
8	v	ADP	9	case
9	Africe	PROPN	6	obl
10	,	PUNCT	12	punct
11	jenom	PART	12	advmod:emph
12	nevíme	VERB	3	conj
13	,	PUNCT	16	punct
14	kde	ADV	16	advmod
15	vždycky	ADV	16	advmod
16	jsou	VERB	12	ccomp
17	,	PUNCT	20	punct
18	když	SCONJ	20	mark
19	lidé	NOUN	20	nsubj
20	umírají	VERB	16	advcl
21	jako	SCONJ	22	mark
22	mouchy	NOUN	20	advcl
23	.	PUNCT	3	punct
24	"	PUNCT	3	punct