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:
La esposa del presidente del Gobierno, Ana Botella, ha pedido hoy a las mujeres que aumenten la natalidad "para lograr que España no sea una sociedad cada vez más envejecida" y ha reclamado más atención de las administraciones públicas, con el fin de hacer compatible el trabajo de la mujer y su función como madre.
Postion	Tokenization
1	La
2	esposa
3	del
4	presidente
5	del
6	Gobierno
7	,
8	Ana
9	Botella
10	,
11	ha
12	pedido
13	hoy
14	a
15	las
16	mujeres
17	que
18	aumenten
19	la
20	natalidad
21	"
22	para
23	lograr
24	que
25	España
26	no
27	sea
28	una
29	sociedad
30	cada
31	vez
32	más
33	envejecida
34	"
35	y
36	ha
37	reclamado
38	más
39	atención
40	de
41	las
42	administraciones
43	públicas
44	,
45	con
46	el
47	fin
48	de
49	hacer
50	compatible
51	el
52	trabajo
53	de
54	la
55	mujer
56	y
57	su
58	función
59	como
60	madre
61	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	esposa	NOUN	12	nsubj
3	del	ADP	4	case
4	presidente	NOUN	2	nmod
5	del	ADP	6	case
6	Gobierno	PROPN	4	nmod
7	,	PUNCT	8	punct
8	Ana	PROPN	2	appos
9	Botella	PROPN	8	flat
10	,	PUNCT	8	punct
11	ha	AUX	12	aux
12	pedido	VERB	0	root
13	hoy	ADV	12	advmod
14	a	ADP	16	case
15	las	DET	16	det
16	mujeres	NOUN	12	iobj
17	que	SCONJ	18	mark
18	aumenten	VERB	12	ccomp
19	la	DET	20	det
20	natalidad	NOUN	18	obj
21	"	PUNCT	23	punct
22	para	ADP	23	mark
23	lograr	VERB	18	advcl
24	que	SCONJ	29	mark
25	España	PROPN	29	nsubj
26	no	ADV	29	advmod
27	sea	AUX	29	cop
28	una	DET	29	det
29	sociedad	NOUN	23	ccomp
30	cada	DET	31	det
31	vez	NOUN	33	obl
32	más	ADV	33	advmod
33	envejecida	ADJ	29	amod
34	"	PUNCT	29	punct
35	y	CCONJ	37	cc
36	ha	AUX	37	aux
37	reclamado	VERB	12	conj
38	más	ADV	39	advmod
39	atención	NOUN	37	obj
40	de	ADP	42	case
41	las	DET	42	det
42	administraciones	NOUN	39	nmod
43	públicas	ADJ	42	amod
44	,	PUNCT	49	punct
45	con	ADP	49	mark
46	el	DET	45	fixed
47	fin	NOUN	45	fixed
48	de	ADP	45	fixed
49	hacer	VERB	37	advcl
50	compatible	ADJ	49	obj
51	el	DET	52	det
52	trabajo	NOUN	49	obj
53	de	ADP	55	case
54	la	DET	55	det
55	mujer	NOUN	52	nmod
56	y	CCONJ	58	cc
57	su	DET	58	det
58	función	NOUN	52	conj
59	como	SCONJ	60	mark
60	madre	NOUN	58	nmod
61	.	PUNCT	12	punct