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: Jacques Bihozagara, který řídí mezinárodní záležitosti ve vedení Rwandské vlastenecké fronty (RPF), prohlásil v Bruselu, že případné příměří mezi RPF a vládními silami bude mít za důsledek pouze další masakry.
Position	Tokenization	UPOS	Head	Deprel
1	Jacques	PROPN	17	nsubj
2	Bihozagara	PROPN	1	flat
3	,	PUNCT	5	punct
4	který	DET	5	nsubj
5	řídí	VERB	1	acl:relcl
6	mezinárodní	ADJ	7	amod
7	záležitosti	NOUN	5	obj
8	ve	ADP	9	case
9	vedení	NOUN	7	nmod
10	Rwandské	ADJ	12	amod
11	vlastenecké	ADJ	12	amod
12	fronty	NOUN	9	nmod
13	(	PUNCT	14	punct
14	RPF	PROPN	12	appos
15	)	PUNCT	14	punct
16	,	PUNCT	5	punct
17	prohlásil	VERB	0	root
18	v	ADP	19	case
19	Bruselu	PROPN	17	obl
20	,	PUNCT	30	punct
21	že	SCONJ	30	mark
22	případné	ADJ	23	amod
23	příměří	NOUN	30	nsubj
24	mezi	ADP	25	case
25	RPF	PROPN	23	nmod
26	a	CCONJ	28	cc
27	vládními	ADJ	28	amod
28	silami	NOUN	25	conj
29	bude	AUX	30	aux
30	mít	VERB	17	ccomp
31	za	ADP	32	case
32	důsledek	NOUN	30	obl:arg
33	pouze	ADV	35	advmod:emph
34	další	ADJ	35	amod
35	masakry	NOUN	30	obj
36	.	PUNCT	17	punct