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:
María Antonia Lucena nació el 24 de diciembre de 1948 en Málaga, está casada, tiene dos hijos, es licenciada en Ciencias Políticas por la Universidad Complutense de Madrid y pertenece al Cuerpo Técnico Superior de la Administración de la Seguridad Social.
Postion	Tokenization
1	María
2	Antonia
3	Lucena
4	nació
5	el
6	24
7	de
8	diciembre
9	de
10	1948
11	en
12	Málaga
13	,
14	está
15	casada
16	,
17	tiene
18	dos
19	hijos
20	,
21	es
22	licenciada
23	en
24	Ciencias
25	Políticas
26	por
27	la
28	Universidad
29	Complutense
30	de
31	Madrid
32	y
33	pertenece
34	al
35	Cuerpo
36	Técnico
37	Superior
38	de
39	la
40	Administración
41	de
42	la
43	Seguridad
44	Social
45	.
Position	Tokenization	UPOS	Head	Deprel
1	María	PROPN	4	nsubj
2	Antonia	PROPN	1	flat
3	Lucena	PROPN	1	flat
4	nació	VERB	0	root
5	el	DET	6	det
6	24	NUM	4	obl
7	de	ADP	8	case
8	diciembre	NOUN	6	compound
9	de	ADP	10	case
10	1948	NUM	6	compound
11	en	ADP	12	case
12	Málaga	PROPN	4	obl
13	,	PUNCT	15	punct
14	está	AUX	15	cop
15	casada	ADJ	4	advcl
16	,	PUNCT	17	punct
17	tiene	VERB	4	advcl
18	dos	NUM	19	nummod
19	hijos	NOUN	17	obj
20	,	PUNCT	22	punct
21	es	AUX	22	cop
22	licenciada	NOUN	4	advcl
23	en	ADP	24	case
24	Ciencias	PROPN	22	nmod
25	Políticas	PROPN	24	flat
26	por	ADP	28	case
27	la	DET	28	det
28	Universidad	PROPN	22	nmod
29	Complutense	PROPN	28	flat
30	de	ADP	31	case
31	Madrid	PROPN	28	flat
32	y	CCONJ	33	cc
33	pertenece	VERB	4	conj
34	al	ADP	35	case
35	Cuerpo	PROPN	33	obj
36	Técnico	PROPN	35	flat
37	Superior	PROPN	35	flat
38	de	ADP	40	case
39	la	DET	40	det
40	Administración	PROPN	35	flat
41	de	ADP	43	case
42	la	DET	43	det
43	Seguridad	PROPN	35	flat
44	Social	PROPN	35	flat
45	.	PUNCT	4	punct