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:
También aparece como novedad un reforzamiento del dispositivo de medidas para la protección del medio ambiente, una recomendación sobre derechos humanos y nuevos capítulos sobre la lucha contra la corrupción y la defensa del consumidor.
Postion	Tokenization
1	También
2	aparece
3	como
4	novedad
5	un
6	reforzamiento
7	del
8	dispositivo
9	de
10	medidas
11	para
12	la
13	protección
14	del
15	medio
16	ambiente
17	,
18	una
19	recomendación
20	sobre
21	derechos
22	humanos
23	y
24	nuevos
25	capítulos
26	sobre
27	la
28	lucha
29	contra
30	la
31	corrupción
32	y
33	la
34	defensa
35	del
36	consumidor
37	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	aparece	VERB	0	root
3	como	SCONJ	4	mark
4	novedad	NOUN	2	obl
5	un	DET	6	det
6	reforzamiento	NOUN	2	nsubj
7	del	ADP	8	case
8	dispositivo	NOUN	6	nmod
9	de	ADP	10	case
10	medidas	NOUN	8	nmod
11	para	ADP	13	case
12	la	DET	13	det
13	protección	NOUN	10	nmod
14	del	ADP	15	case
15	medio	NOUN	13	nmod
16	ambiente	NOUN	15	compound
17	,	PUNCT	19	punct
18	una	DET	19	det
19	recomendación	NOUN	6	appos
20	sobre	ADP	21	case
21	derechos	NOUN	19	nmod
22	humanos	NOUN	21	compound
23	y	CCONJ	25	cc
24	nuevos	ADJ	25	amod
25	capítulos	NOUN	6	conj
26	sobre	ADP	28	case
27	la	DET	28	det
28	lucha	NOUN	25	nmod
29	contra	ADP	31	case
30	la	DET	31	det
31	corrupción	NOUN	28	nmod
32	y	CCONJ	34	cc
33	la	DET	34	det
34	defensa	NOUN	28	conj
35	del	ADP	36	case
36	consumidor	NOUN	34	nmod
37	.	PUNCT	2	punct