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:
Después, mantuvo un encuentro con la junta directiva local de la Asociación de Mujeres y Familias del Ambito Rural (AMFAR), cuya presidenta Mercedes Mateo le pidió que traslade al Gobierno su aspiración de una mejora de las infraestructuras, "como medio para lograr una mayor integración laboral de las mujeres de esta zona".
Postion	Tokenization
1	Después
2	,
3	mantuvo
4	un
5	encuentro
6	con
7	la
8	junta
9	directiva
10	local
11	de
12	la
13	Asociación
14	de
15	Mujeres
16	y
17	Familias
18	del
19	Ambito
20	Rural
21	(
22	AMFAR
23	)
24	,
25	cuya
26	presidenta
27	Mercedes
28	Mateo
29	le
30	pidió
31	que
32	traslade
33	al
34	Gobierno
35	su
36	aspiración
37	de
38	una
39	mejora
40	de
41	las
42	infraestructuras
43	,
44	"
45	como
46	medio
47	para
48	lograr
49	una
50	mayor
51	integración
52	laboral
53	de
54	las
55	mujeres
56	de
57	esta
58	zona
59	"
60	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	3	advmod
2	,	PUNCT	1	punct
3	mantuvo	VERB	0	root
4	un	DET	5	det
5	encuentro	NOUN	3	obj
6	con	ADP	8	case
7	la	DET	8	det
8	junta	NOUN	3	obl
9	directiva	ADJ	8	amod
10	local	ADJ	8	amod
11	de	ADP	13	case
12	la	DET	13	det
13	Asociación	PROPN	8	nmod
14	de	ADP	15	case
15	Mujeres	PROPN	13	flat
16	y	CCONJ	17	cc
17	Familias	PROPN	15	conj
18	del	ADP	19	case
19	Ambito	PROPN	13	flat
20	Rural	PROPN	19	flat
21	(	PUNCT	22	punct
22	AMFAR	PROPN	13	flat
23	)	PUNCT	22	punct
24	,	PUNCT	30	punct
25	cuya	PRON	26	nmod
26	presidenta	NOUN	30	nsubj
27	Mercedes	PROPN	26	appos
28	Mateo	PROPN	27	flat
29	le	PRON	30	iobj
30	pidió	VERB	13	acl
31	que	SCONJ	32	mark
32	traslade	VERB	30	ccomp
33	al	ADP	34	case
34	Gobierno	PROPN	32	obj
35	su	DET	36	det
36	aspiración	NOUN	32	obj
37	de	ADP	39	case
38	una	DET	39	det
39	mejora	NOUN	36	nmod
40	de	ADP	42	case
41	las	DET	42	det
42	infraestructuras	NOUN	39	nmod
43	,	PUNCT	46	punct
44	"	PUNCT	46	punct
45	como	SCONJ	46	mark
46	medio	NOUN	39	nmod
47	para	ADP	48	mark
48	lograr	VERB	46	acl
49	una	DET	51	det
50	mayor	ADJ	51	amod
51	integración	NOUN	48	obj
52	laboral	ADJ	51	amod
53	de	ADP	55	case
54	las	DET	55	det
55	mujeres	NOUN	51	nmod
56	de	ADP	58	case
57	esta	DET	58	det
58	zona	NOUN	55	nmod
59	"	PUNCT	46	punct
60	.	PUNCT	3	punct