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 Pretorii se včera sešel budoucí prezident země Nelson Mandela s dosavadním prezidentem Frederikem de Klerkem, aby spolu projednali složení nové vlády.
Postion	Tokenization
1	V
2	Pretorii
3	se
4	včera
5	sešel
6	budoucí
7	prezident
8	země
9	Nelson
10	Mandela
11	s
12	dosavadním
13	prezidentem
14	Frederikem
15	de
16	Klerkem
17	,
18	aby
19	aby
20	by
21	spolu
22	projednali
23	složení
24	nové
25	vlády
26	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Pretorii	PROPN	5	obl
3	se	PRON	5	expl:pv
4	včera	ADV	5	advmod
5	sešel	VERB	0	root
6	budoucí	ADJ	7	amod
7	prezident	NOUN	5	nsubj
8	země	NOUN	7	nmod
9	Nelson	PROPN	7	flat
10	Mandela	PROPN	7	flat
11	s	ADP	13	case
12	dosavadním	ADJ	13	amod
13	prezidentem	NOUN	5	obl:arg
14	Frederikem	PROPN	13	flat
15	de	ADP	13	flat
16	Klerkem	PROPN	13	flat
17	,	PUNCT	21	punct
18	aby	_	None	_
19	aby	SCONJ	21	mark
20	by	AUX	21	aux
21	spolu	ADV	21	advmod
22	projednali	VERB	5	advcl
23	složení	NOUN	21	obj
24	nové	ADJ	24	amod
25	vlády	NOUN	22	nmod
26	.	PUNCT	5	punct