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: John vypravuje o zvířatech a lidech: v Keni, především v národních parcích, žije na půl miliónu slonů, 200 tisíc buvolů, 120 tisíc žiraf, 4 tisíce lvů, 2 tisíce nosorožců.
Position	Tokenization	UPOS	Head	Deprel
1	John	PROPN	2	nsubj
2	vypravuje	VERB	0	root
3	o	ADP	4	case
4	zvířatech	NOUN	2	obl:arg
5	a	CCONJ	6	cc
6	lidech	NOUN	4	conj
7	:	PUNCT	16	punct
8	v	ADP	9	case
9	Keni	PROPN	16	obl
10	,	PUNCT	14	punct
11	především	ADV	14	advmod:emph
12	v	ADP	14	case
13	národních	ADJ	14	amod
14	parcích	NOUN	16	obl
15	,	PUNCT	14	punct
16	žije	VERB	2	conj
17	na	ADP	18	case
18	půl	NOUN	16	nsubj
19	miliónu	NOUN	18	nmod
20	slonů	NOUN	19	nmod
21	,	PUNCT	24	punct
22	200	NUM	24	nummod:gov
23	tisíc	NUM	24	nummod:gov
24	buvolů	NOUN	18	conj
25	,	PUNCT	28	punct
26	120	NUM	28	nummod:gov
27	tisíc	NUM	28	nummod:gov
28	žiraf	NOUN	18	conj
29	,	PUNCT	31	punct
30	4	NUM	31	nummod
31	tisíce	NOUN	18	conj
32	lvů	NOUN	31	nmod
33	,	PUNCT	35	punct
34	2	NUM	35	nummod
35	tisíce	NOUN	18	conj
36	nosorožců	NOUN	35	nmod
37	.	PUNCT	2	punct