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:
Botella ha animado a las leridanas a aprovechar las medidas económicas y sociales que ha promovido el Ejecutivo del PP para impulsar la incorporación al mundo laboral de la mujer.
Postion	Tokenization
1	Botella
2	ha
3	animado
4	a
5	las
6	leridanas
7	a
8	aprovechar
9	las
10	medidas
11	económicas
12	y
13	sociales
14	que
15	ha
16	promovido
17	el
18	Ejecutivo
19	del
20	PP
21	para
22	impulsar
23	la
24	incorporación
25	al
26	mundo
27	laboral
28	de
29	la
30	mujer
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Botella	PROPN	3	nsubj
2	ha	AUX	3	aux
3	animado	VERB	0	root
4	a	ADP	6	case
5	las	DET	6	det
6	leridanas	NOUN	3	obj
7	a	ADP	8	mark
8	aprovechar	VERB	3	advcl
9	las	DET	10	det
10	medidas	NOUN	8	obj
11	económicas	ADJ	10	amod
12	y	CCONJ	13	cc
13	sociales	ADJ	11	conj
14	que	PRON	16	obj
15	ha	AUX	16	aux
16	promovido	VERB	10	acl
17	el	DET	18	det
18	Ejecutivo	PROPN	16	nsubj
19	del	ADP	20	case
20	PP	PROPN	18	nmod
21	para	ADP	22	mark
22	impulsar	VERB	16	advcl
23	la	DET	24	det
24	incorporación	NOUN	22	obj
25	al	ADP	26	case
26	mundo	NOUN	24	nmod
27	laboral	ADJ	26	amod
28	de	ADP	30	case
29	la	DET	30	det
30	mujer	NOUN	24	nmod
31	.	PUNCT	3	punct