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: Nejméně 14 obyvatel rwandského hlavního města zahynulo a dalších 150 bylo zraněno při minometném útoku na kostel, v jehož okolí se ukrývají tisíce uprchlíků před krvavými boji v Kigali.
Position	Tokenization	UPOS	Head	Deprel
1	Nejméně	ADV	2	advmod:emph
2	14	NUM	3	nummod:gov
3	obyvatel	NOUN	7	nsubj
4	rwandského	ADJ	6	amod
5	hlavního	ADJ	6	amod
6	města	NOUN	3	nmod
7	zahynulo	VERB	0	root
8	a	CCONJ	12	cc
9	dalších	ADJ	10	amod
10	150	NUM	12	nsubj:pass
11	bylo	AUX	12	aux:pass
12	zraněno	ADJ	7	conj
13	při	ADP	15	case
14	minometném	ADJ	15	amod
15	útoku	NOUN	12	obl
16	na	ADP	17	case
17	kostel	NOUN	15	nmod
18	,	PUNCT	23	punct
19	v	ADP	21	case
20	jehož	DET	21	det
21	okolí	NOUN	23	obl
22	se	PRON	23	obj
23	ukrývají	VERB	17	acl:relcl
24	tisíce	NOUN	23	nsubj
25	uprchlíků	NOUN	24	nmod
26	před	ADP	28	case
27	krvavými	ADJ	28	amod
28	boji	NOUN	23	obl:arg
29	v	ADP	30	case
30	Kigali	PROPN	28	nmod
31	.	PUNCT	7	punct