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:
Por lógica, afirmó Boadella, deberá ser la muerte del pintor, aunque esta idea le parece "bastante pueril", ya que "los genios nunca mueren".
Postion	Tokenization
1	Por
2	lógica
3	,
4	afirmó
5	Boadella
6	,
7	deberá
8	ser
9	la
10	muerte
11	del
12	pintor
13	,
14	aunque
15	esta
16	idea
17	le
18	parece
19	"
20	bastante
21	pueril
22	"
23	,
24	ya
25	que
26	"
27	los
28	genios
29	nunca
30	mueren
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	lógica	NOUN	10	obl
3	,	PUNCT	4	punct
4	afirmó	VERB	10	parataxis
5	Boadella	PROPN	4	nsubj
6	,	PUNCT	4	punct
7	deberá	AUX	10	aux
8	ser	AUX	10	cop
9	la	DET	10	det
10	muerte	NOUN	0	root
11	del	ADP	12	case
12	pintor	NOUN	10	nmod
13	,	PUNCT	18	punct
14	aunque	SCONJ	18	mark
15	esta	DET	16	det
16	idea	NOUN	18	nsubj
17	le	PRON	18	obj
18	parece	VERB	10	advcl
19	"	PUNCT	18	punct
20	bastante	ADV	18	advmod
21	pueril	ADJ	18	xcomp
22	"	PUNCT	30	punct
23	,	PUNCT	30	punct
24	ya	ADV	30	mark
25	que	SCONJ	24	fixed
26	"	PUNCT	30	punct
27	los	DET	28	det
28	genios	NOUN	30	nsubj
29	nunca	ADV	30	advmod
30	mueren	VERB	21	advcl
31	"	PUNCT	30	punct
32	.	PUNCT	10	punct