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:
Konferenci, které se má zúčastnit více než 180 delegací, zatím bojkotují Saúdská Arábie, Súdán a Libanon, účast odřekly premiérky Turecka a Bangladéše.
Postion	Tokenization
1	Konferenci
2	,
3	které
4	se
5	má
6	zúčastnit
7	více
8	než
9	180
10	delegací
11	,
12	zatím
13	bojkotují
14	Saúdská
15	Arábie
16	,
17	Súdán
18	a
19	Libanon
20	,
21	účast
22	odřekly
23	premiérky
24	Turecka
25	a
26	Bangladéše
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Konferenci	NOUN	13	obj
2	,	PUNCT	5	punct
3	které	DET	6	obl:arg
4	se	PRON	6	expl:pv
5	má	VERB	1	acl:relcl
6	zúčastnit	VERB	5	xcomp
7	více	ADV	5	nsubj
8	než	SCONJ	9	mark
9	180	NUM	7	obl
10	delegací	NOUN	7	nmod
11	,	PUNCT	5	punct
12	zatím	ADV	13	advmod
13	bojkotují	VERB	0	root
14	Saúdská	ADJ	15	amod
15	Arábie	PROPN	13	nsubj
16	,	PUNCT	17	punct
17	Súdán	PROPN	15	conj
18	a	CCONJ	19	cc
19	Libanon	PROPN	15	conj
20	,	PUNCT	22	punct
21	účast	NOUN	22	obj
22	odřekly	VERB	13	conj
23	premiérky	NOUN	22	nsubj
24	Turecka	PROPN	23	nmod
25	a	CCONJ	26	cc
26	Bangladéše	PROPN	24	conj
27	.	PUNCT	13	punct