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 jefe de la diplomacia paquistaní, Abdul Sattar, y el de la india, Jasuant Singh, se sonrieron, se saludaron calurosamente y hablaron durante un breve espacio de tiempo, según explicó su homólogo de Sri Lanka, Tyrone Fernando.
Postion	Tokenization
1	El
2	jefe
3	de
4	la
5	diplomacia
6	paquistaní
7	,
8	Abdul
9	Sattar
10	,
11	y
12	el
13	de
14	la
15	india
16	,
17	Jasuant
18	Singh
19	,
20	se
21	sonrieron
22	,
23	se
24	saludaron
25	calurosamente
26	y
27	hablaron
28	durante
29	un
30	breve
31	espacio
32	de
33	tiempo
34	,
35	según
36	explicó
37	su
38	homólogo
39	de
40	Sri
41	Lanka
42	,
43	Tyrone
44	Fernando
45	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	jefe	NOUN	21	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	diplomacia	NOUN	2	nmod
6	paquistaní	ADJ	5	amod
7	,	PUNCT	8	punct
8	Abdul	PROPN	2	appos
9	Sattar	PROPN	8	flat
10	,	PUNCT	8	punct
11	y	CCONJ	12	cc
12	el	DET	2	conj
13	de	ADP	12	case
14	la	DET	15	det
15	india	NOUN	12	nsubj
16	,	PUNCT	17	punct
17	Jasuant	PROPN	12	nmod
18	Singh	PROPN	17	flat
19	,	PUNCT	17	punct
20	se	PRON	21	expl:pv
21	sonrieron	VERB	0	root
22	,	PUNCT	24	punct
23	se	PRON	24	obj
24	saludaron	VERB	21	advcl
25	calurosamente	ADV	24	advmod
26	y	CCONJ	27	cc
27	hablaron	VERB	21	conj
28	durante	ADP	31	case
29	un	DET	31	det
30	breve	ADJ	31	amod
31	espacio	NOUN	27	obl
32	de	ADP	33	case
33	tiempo	NOUN	31	nmod
34	,	PUNCT	36	punct
35	según	SCONJ	36	mark
36	explicó	VERB	21	advcl
37	su	DET	38	det
38	homólogo	NOUN	36	nsubj
39	de	ADP	40	case
40	Sri	PROPN	38	nmod
41	Lanka	PROPN	40	flat
42	,	PUNCT	43	punct
43	Tyrone	PROPN	38	appos
44	Fernando	PROPN	43	flat
45	.	PUNCT	21	punct