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:
A esa cita, indicó, acudirán además los presidentes Hugo Banzer, de Bolivia, Andrés Pastrana, de Colombia, Hugo Chávez, de Venezuela y Alberto Fujimori, de Perú, que es el anfitrión.
Postion	Tokenization
1	A
2	esa
3	cita
4	,
5	indicó
6	,
7	acudirán
8	además
9	los
10	presidentes
11	Hugo
12	Banzer
13	,
14	de
15	Bolivia
16	,
17	Andrés
18	Pastrana
19	,
20	de
21	Colombia
22	,
23	Hugo
24	Chávez
25	,
26	de
27	Venezuela
28	y
29	Alberto
30	Fujimori
31	,
32	de
33	Perú
34	,
35	que
36	es
37	el
38	anfitrión
39	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	esa	DET	3	det
3	cita	NOUN	7	obl
4	,	PUNCT	5	punct
5	indicó	VERB	7	parataxis
6	,	PUNCT	5	punct
7	acudirán	VERB	0	root
8	además	ADV	7	advmod
9	los	DET	10	det
10	presidentes	NOUN	7	nsubj
11	Hugo	PROPN	10	appos
12	Banzer	PROPN	11	flat
13	,	PUNCT	15	punct
14	de	ADP	15	case
15	Bolivia	PROPN	11	nmod
16	,	PUNCT	17	punct
17	Andrés	PROPN	11	conj
18	Pastrana	PROPN	17	flat
19	,	PUNCT	21	punct
20	de	ADP	21	case
21	Colombia	PROPN	17	nmod
22	,	PUNCT	23	punct
23	Hugo	PROPN	11	conj
24	Chávez	PROPN	23	flat
25	,	PUNCT	27	punct
26	de	ADP	27	case
27	Venezuela	PROPN	23	nmod
28	y	CCONJ	29	cc
29	Alberto	PROPN	11	conj
30	Fujimori	PROPN	29	flat
31	,	PUNCT	33	punct
32	de	ADP	33	case
33	Perú	PROPN	29	nmod
34	,	PUNCT	38	punct
35	que	PRON	38	nsubj
36	es	AUX	38	cop
37	el	DET	38	det
38	anfitrión	NOUN	29	acl
39	.	PUNCT	7	punct