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:
Joaquín Balaguer, el político activo de mayor edad en América Latina, con 93 años y ciego, se propone encabezar mañana, domingo, una multitudinaria manifestación de jóvenes a los que buscará convencer para que lo conviertan de nuevo en presidente del país el 16 de mayo, fecha de las elecciones.
Postion	Tokenization
1	Joaquín
2	Balaguer
3	,
4	el
5	político
6	activo
7	de
8	mayor
9	edad
10	en
11	América
12	Latina
13	,
14	con
15	93
16	años
17	y
18	ciego
19	,
20	se
21	propone
22	encabezar
23	mañana
24	,
25	domingo
26	,
27	una
28	multitudinaria
29	manifestación
30	de
31	jóvenes
32	a
33	los
34	que
35	buscará
36	convencer
37	para
38	que
39	lo
40	conviertan
41	de
42	nuevo
43	en
44	presidente
45	del
46	país
47	el
48	16
49	de
50	mayo
51	,
52	fecha
53	de
54	las
55	elecciones
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Joaquín	PROPN	21	nsubj
2	Balaguer	PROPN	1	flat
3	,	PUNCT	5	punct
4	el	DET	5	det
5	político	NOUN	1	appos
6	activo	ADJ	5	amod
7	de	ADP	9	case
8	mayor	ADJ	9	amod
9	edad	NOUN	5	nmod
10	en	ADP	11	case
11	América	PROPN	5	nmod
12	Latina	PROPN	11	flat
13	,	PUNCT	16	punct
14	con	ADP	16	case
15	93	NUM	16	nummod
16	años	NOUN	5	nmod
17	y	CCONJ	18	cc
18	ciego	ADJ	16	conj
19	,	PUNCT	16	punct
20	se	PRON	21	expl:pv
21	propone	VERB	0	root
22	encabezar	VERB	21	xcomp
23	mañana	ADV	22	advmod
24	,	PUNCT	25	punct
25	domingo	NOUN	23	obl
26	,	PUNCT	25	punct
27	una	DET	29	det
28	multitudinaria	ADJ	29	amod
29	manifestación	NOUN	22	obj
30	de	ADP	31	case
31	jóvenes	NOUN	29	nmod
32	a	ADP	34	case
33	los	DET	34	det
34	que	PRON	35	iobj
35	buscará	VERB	31	acl
36	convencer	VERB	35	xcomp
37	para	ADP	40	mark
38	que	SCONJ	40	mark
39	lo	PRON	40	obj
40	conviertan	VERB	36	advcl
41	de	ADP	40	advmod
42	nuevo	ADJ	41	fixed
43	en	ADP	44	case
44	presidente	NOUN	40	iobj
45	del	ADP	46	case
46	país	NOUN	44	nmod
47	el	DET	48	det
48	16	NUM	40	obl
49	de	ADP	50	case
50	mayo	NOUN	48	compound
51	,	PUNCT	52	punct
52	fecha	NOUN	48	appos
53	de	ADP	55	case
54	las	DET	55	det
55	elecciones	NOUN	52	nmod
56	.	PUNCT	21	punct