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:
Na setkání ministrů, které se uskutečnilo po několikadenních průtazích v zairském městě Goma, kde se zdržuje většina běženců, dal Kamanda lhůtu do 30. září.
Postion	Tokenization
1	Na
2	setkání
3	ministrů
4	,
5	které
6	se
7	uskutečnilo
8	po
9	několikadenních
10	průtazích
11	v
12	zairském
13	městě
14	Goma
15	,
16	kde
17	se
18	zdržuje
19	většina
20	běženců
21	,
22	dal
23	Kamanda
24	lhůtu
25	do
26	30
27	.
28	září
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	setkání	NOUN	24	nmod
3	ministrů	NOUN	2	nmod
4	,	PUNCT	7	punct
5	které	DET	7	nsubj:pass
6	se	PRON	7	expl:pass
7	uskutečnilo	VERB	2	acl:relcl
8	po	ADP	10	case
9	několikadenních	ADJ	10	amod
10	průtazích	NOUN	7	obl
11	v	ADP	13	case
12	zairském	ADJ	13	amod
13	městě	NOUN	7	obl
14	Goma	PROPN	13	nmod
15	,	PUNCT	18	punct
16	kde	ADV	18	advmod
17	se	PRON	18	expl:pv
18	zdržuje	VERB	13	acl:relcl
19	většina	NOUN	18	nsubj
20	běženců	NOUN	19	nmod
21	,	PUNCT	18	punct
22	dal	VERB	0	root
23	Kamanda	PROPN	22	nsubj
24	lhůtu	NOUN	22	obj
25	do	ADP	28	case
26	30	NUM	28	nummod
27	.	PUNCT	26	punct
28	září	NOUN	24	nmod
29	.	PUNCT	22	punct