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:
Ana Botella ha destacado, entre las propuestas del PP, la eliminación de las cotizaciones sociales durante un periodo de dos años por razón de maternidad, así como el programa nacional de guarderías y escuelas infantiles.
Postion	Tokenization
1	Ana
2	Botella
3	ha
4	destacado
5	,
6	entre
7	las
8	propuestas
9	del
10	PP
11	,
12	la
13	eliminación
14	de
15	las
16	cotizaciones
17	sociales
18	durante
19	un
20	periodo
21	de
22	dos
23	años
24	por
25	razón
26	de
27	maternidad
28	,
29	así
30	como
31	el
32	programa
33	nacional
34	de
35	guarderías
36	y
37	escuelas
38	infantiles
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Ana	PROPN	4	nsubj
2	Botella	PROPN	1	flat
3	ha	AUX	4	aux
4	destacado	VERB	0	root
5	,	PUNCT	8	punct
6	entre	ADP	8	case
7	las	DET	8	det
8	propuestas	NOUN	4	obl
9	del	ADP	10	case
10	PP	PROPN	8	nmod
11	,	PUNCT	8	punct
12	la	DET	13	det
13	eliminación	NOUN	4	obj
14	de	ADP	16	case
15	las	DET	16	det
16	cotizaciones	NOUN	13	nmod
17	sociales	ADJ	16	amod
18	durante	ADP	20	case
19	un	DET	20	det
20	periodo	NOUN	13	nmod
21	de	ADP	23	case
22	dos	NUM	23	nummod
23	años	NOUN	20	nmod
24	por	ADP	25	case
25	razón	NOUN	13	nmod
26	de	ADP	27	case
27	maternidad	NOUN	25	nmod
28	,	PUNCT	32	punct
29	así	ADV	32	cc
30	como	SCONJ	29	fixed
31	el	DET	32	det
32	programa	NOUN	13	conj
33	nacional	ADJ	32	amod
34	de	ADP	35	case
35	guarderías	NOUN	32	nmod
36	y	CCONJ	37	cc
37	escuelas	NOUN	35	conj
38	infantiles	ADJ	37	amod
39	.	PUNCT	4	punct