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:
El doctor Bhagat Ram, médico privado del depuesto primer ministro fiyiano, Mehnedra Chaudhry, dijo que varios de los rehenes llevaban días con molestias y les ha dado algo para que descansasen, según Radio Fiyi.
Postion	Tokenization
1	El
2	doctor
3	Bhagat
4	Ram
5	,
6	médico
7	privado
8	del
9	depuesto
10	primer
11	ministro
12	fiyiano
13	,
14	Mehnedra
15	Chaudhry
16	,
17	dijo
18	que
19	varios
20	de
21	los
22	rehenes
23	llevaban
24	días
25	con
26	molestias
27	y
28	les
29	ha
30	dado
31	algo
32	para
33	que
34	descansasen
35	,
36	según
37	Radio
38	Fiyi
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	doctor	NOUN	17	nsubj
3	Bhagat	PROPN	2	appos
4	Ram	PROPN	3	flat
5	,	PUNCT	6	punct
6	médico	NOUN	2	appos
7	privado	ADJ	6	amod
8	del	ADP	11	case
9	depuesto	ADJ	11	amod
10	primer	ADJ	11	amod
11	ministro	NOUN	6	nmod
12	fiyiano	ADJ	11	amod
13	,	PUNCT	14	punct
14	Mehnedra	PROPN	11	appos
15	Chaudhry	PROPN	14	flat
16	,	PUNCT	14	punct
17	dijo	VERB	0	root
18	que	SCONJ	23	mark
19	varios	PRON	23	nsubj
20	de	ADP	22	case
21	los	DET	22	det
22	rehenes	NOUN	19	nmod
23	llevaban	VERB	17	ccomp
24	días	NOUN	23	obl
25	con	ADP	26	case
26	molestias	NOUN	23	obl
27	y	CCONJ	30	cc
28	les	PRON	30	obj
29	ha	AUX	30	aux
30	dado	VERB	23	conj
31	algo	PRON	30	obj
32	para	ADP	34	mark
33	que	SCONJ	34	mark
34	descansasen	VERB	31	acl
35	,	PUNCT	37	punct
36	según	ADP	37	case
37	Radio	PROPN	17	obl
38	Fiyi	PROPN	37	flat
39	.	PUNCT	17	punct