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 text: Úřad vysoké komisařky OSN pro uprchlíky včera oznámil, že za 24 hodiny uprchlo z Rwandy do Tanzanie čtvrt milionu osob, což je vůbec "nejrozsáhlejší a nejrychlejší exodus", jaký kdy zaznamenal.
Position	Tokenization	UPOS	Head	Deprel
1	Úřad	NOUN	8	nsubj
2	vysoké	ADJ	3	amod
3	komisařky	NOUN	1	nmod
4	OSN	PROPN	3	nmod
5	pro	ADP	6	case
6	uprchlíky	NOUN	3	nmod
7	včera	ADV	8	advmod
8	oznámil	VERB	0	root
9	,	PUNCT	14	punct
10	že	SCONJ	14	mark
11	za	ADP	13	case
12	24	NUM	13	nummod
13	hodiny	NOUN	14	obl
14	uprchlo	VERB	8	ccomp
15	z	ADP	16	case
16	Rwandy	PROPN	14	obl
17	do	ADP	18	case
18	Tanzanie	PROPN	14	obl
19	čtvrt	NUM	20	nummod:gov
20	milionu	NOUN	14	nsubj
21	osob	NOUN	20	nmod
22	,	PUNCT	30	punct
23	což	PRON	30	nsubj
24	je	AUX	30	cop
25	vůbec	ADV	27	advmod
26	"	PUNCT	25	punct
27	nejrozsáhlejší	ADJ	30	amod
28	a	CCONJ	29	cc
29	nejrychlejší	ADJ	27	conj
30	exodus	NOUN	8	conj
31	"	PUNCT	30	punct
32	,	PUNCT	35	punct
33	jaký	DET	35	obj
34	kdy	ADV	35	advmod
35	zaznamenal	VERB	30	acl:relcl
36	.	PUNCT	8	punct