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:
Nelson Mandela obvinil Stranu svobody Inkatha, že zfalšovala volby v provincii KwaZulu/Natal, kde obě strany bojují o kontrolu nad místním zastupitelstvem.
Postion	Tokenization
1	Nelson
2	Mandela
3	obvinil
4	Stranu
5	svobody
6	Inkatha
7	,
8	že
9	zfalšovala
10	volby
11	v
12	provincii
13	KwaZulu
14	/
15	Natal
16	,
17	kde
18	obě
19	strany
20	bojují
21	o
22	kontrolu
23	nad
24	místním
25	zastupitelstvem
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Nelson	PROPN	3	nsubj
2	Mandela	PROPN	1	flat
3	obvinil	VERB	0	root
4	Stranu	NOUN	3	iobj
5	svobody	NOUN	4	nmod
6	Inkatha	PROPN	4	nmod
7	,	PUNCT	9	punct
8	že	SCONJ	9	mark
9	zfalšovala	VERB	3	ccomp
10	volby	NOUN	9	obj
11	v	ADP	12	case
12	provincii	NOUN	10	nmod
13	KwaZulu	ADJ	15	amod
14	/	PUNCT	13	punct
15	Natal	PROPN	12	nmod
16	,	PUNCT	20	punct
17	kde	ADV	20	advmod
18	obě	NUM	19	nummod
19	strany	NOUN	20	nsubj
20	bojují	VERB	15	acl:relcl
21	o	ADP	22	case
22	kontrolu	NOUN	20	obl:arg
23	nad	ADP	25	case
24	místním	ADJ	25	amod
25	zastupitelstvem	NOUN	22	nmod
26	.	PUNCT	3	punct