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: Jednotky RPF včera obsadily města Cyangugu, Gikongoro a Kibuye v zóně, kterou francouzští vojáci opustili 21. srpna a kde v uprchlických táborech žije více než 1.2 miliónu hutských běženců.
Position	Tokenization	UPOS	Head	Deprel
1	Jednotky	NOUN	4	nsubj
2	RPF	PROPN	1	nmod
3	včera	ADV	4	advmod
4	obsadily	VERB	0	root
5	města	NOUN	4	obj
6	Cyangugu	PROPN	5	nmod
7	,	PUNCT	8	punct
8	Gikongoro	PROPN	6	conj
9	a	CCONJ	10	cc
10	Kibuye	PROPN	6	conj
11	v	ADP	12	case
12	zóně	NOUN	5	nmod
13	,	PUNCT	17	punct
14	kterou	DET	17	obj
15	francouzští	ADJ	16	amod
16	vojáci	NOUN	17	nsubj
17	opustili	VERB	12	acl:relcl
18	21	NUM	20	nummod
19	.	PUNCT	18	punct
20	srpna	NOUN	17	obl
21	a	CCONJ	26	cc
22	kde	ADV	26	advmod
23	v	ADP	25	case
24	uprchlických	ADJ	25	amod
25	táborech	NOUN	26	obl
26	žije	VERB	17	conj
27	více	ADV	26	nsubj
28	než	SCONJ	30	mark
29	1.2	NUM	30	nummod:gov
30	miliónu	NOUN	27	obl
31	hutských	ADJ	32	amod
32	běženců	NOUN	27	nmod
33	.	PUNCT	4	punct