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:
Al fin y al cabo, eso hace más actual que nunca En defensa pròpia, los textos magníficos en los que Verdaguer se defiende de las injurias.
Postion	Tokenization
1	Al
2	fin
3	y
4	al
5	cabo
6	,
7	eso
8	hace
9	más
10	actual
11	que
12	nunca
13	En
14	defensa
15	pròpia
16	,
17	los
18	textos
19	magníficos
20	en
21	los
22	que
23	Verdaguer
24	se
25	defiende
26	de
27	las
28	injurias
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	8	advmod
2	fin	NOUN	1	fixed
3	y	CCONJ	1	fixed
4	al	ADP	1	fixed
5	cabo	NOUN	1	fixed
6	,	PUNCT	1	punct
7	eso	PRON	8	nsubj
8	hace	VERB	0	root
9	más	ADV	10	advmod
10	actual	ADJ	8	obj
11	que	SCONJ	12	mark
12	nunca	ADV	10	advmod
13	En	ADP	18	case
14	defensa	PROPN	8	obj
15	pròpia	PROPN	14	flat
16	,	PUNCT	18	punct
17	los	DET	18	det
18	textos	NOUN	14	appos
19	magníficos	ADJ	18	amod
20	en	ADP	22	case
21	los	DET	22	det
22	que	PRON	25	obl
23	Verdaguer	PROPN	25	nsubj
24	se	PRON	25	obj
25	defiende	VERB	18	acl
26	de	ADP	28	case
27	las	DET	28	det
28	injurias	NOUN	25	obj
29	.	PUNCT	8	punct