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:
Alžírský prezident Lamín Ziruál se sešel v úterý v libyjském Tripolisu za účasti nejvyššího libyjského představitele Muammara Kaddáfího se súdánským prezidentem Umarem Bašírem.
Postion	Tokenization
1	Alžírský
2	prezident
3	Lamín
4	Ziruál
5	se
6	sešel
7	v
8	úterý
9	v
10	libyjském
11	Tripolisu
12	za
13	účasti
14	nejvyššího
15	libyjského
16	představitele
17	Muammara
18	Kaddáfího
19	se
20	súdánským
21	prezidentem
22	Umarem
23	Bašírem
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Alžírský	ADJ	2	amod
2	prezident	NOUN	6	nsubj
3	Lamín	PROPN	2	flat
4	Ziruál	PROPN	2	flat
5	se	PRON	6	expl:pv
6	sešel	VERB	0	root
7	v	ADP	8	case
8	úterý	NOUN	6	obl
9	v	ADP	11	case
10	libyjském	ADJ	11	amod
11	Tripolisu	PROPN	6	obl
12	za	ADP	13	case
13	účasti	NOUN	6	obl
14	nejvyššího	ADJ	16	amod
15	libyjského	ADJ	16	amod
16	představitele	NOUN	13	nmod
17	Muammara	PROPN	16	flat
18	Kaddáfího	PROPN	16	flat
19	se	ADP	21	case
20	súdánským	ADJ	21	amod
21	prezidentem	NOUN	6	obl:arg
22	Umarem	PROPN	21	flat
23	Bašírem	PROPN	21	flat
24	.	PUNCT	6	punct