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:
V projevu k shromáždění svých stoupenců v hale jednoho z hotelů v centru Johannesburgu prohlásil, že je velmi potěšen obrovskou podporou, kterou Africký národní kongres ve volbách získal.
Postion	Tokenization
1	V
2	projevu
3	k
4	shromáždění
5	svých
6	stoupenců
7	v
8	hale
9	jednoho
10	z
11	hotelů
12	v
13	centru
14	Johannesburgu
15	prohlásil
16	,
17	že
18	je
19	velmi
20	potěšen
21	obrovskou
22	podporou
23	,
24	kterou
25	Africký
26	národní
27	kongres
28	ve
29	volbách
30	získal
31	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	projevu	NOUN	15	obl
3	k	ADP	4	case
4	shromáždění	NOUN	2	nmod
5	svých	DET	6	det
6	stoupenců	NOUN	4	nmod
7	v	ADP	8	case
8	hale	NOUN	4	nmod
9	jednoho	NUM	8	nummod
10	z	ADP	11	case
11	hotelů	NOUN	9	nmod
12	v	ADP	13	case
13	centru	NOUN	11	nmod
14	Johannesburgu	PROPN	13	nmod
15	prohlásil	VERB	0	root
16	,	PUNCT	20	punct
17	že	SCONJ	20	mark
18	je	AUX	20	cop
19	velmi	ADV	20	advmod
20	potěšen	ADJ	15	ccomp
21	obrovskou	ADJ	22	amod
22	podporou	NOUN	20	obl:arg
23	,	PUNCT	30	punct
24	kterou	DET	30	obj
25	Africký	ADJ	27	amod
26	národní	ADJ	27	amod
27	kongres	NOUN	30	nsubj
28	ve	ADP	29	case
29	volbách	NOUN	30	obl
30	získal	VERB	22	acl:relcl
31	.	PUNCT	15	punct