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:
Pero, a medida que se adentraba en la lectura de la obra completa de Bonet, Tosar vio la necesidad de ampliar la dimensión del espectáculo.
Postion	Tokenization
1	Pero
2	,
3	a
4	medida
5	que
6	se
7	adentraba
8	en
9	la
10	lectura
11	de
12	la
13	obra
14	completa
15	de
16	Bonet
17	,
18	Tosar
19	vio
20	la
21	necesidad
22	de
23	ampliar
24	la
25	dimensión
26	del
27	espectáculo
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	19	advmod
2	,	PUNCT	7	punct
3	a	ADP	7	mark
4	medida	NOUN	3	fixed
5	que	SCONJ	3	fixed
6	se	PRON	7	expl:pv
7	adentraba	VERB	19	advcl
8	en	ADP	10	case
9	la	DET	10	det
10	lectura	NOUN	7	obl
11	de	ADP	13	case
12	la	DET	13	det
13	obra	NOUN	10	nmod
14	completa	ADJ	13	amod
15	de	ADP	16	case
16	Bonet	PROPN	13	nmod
17	,	PUNCT	7	punct
18	Tosar	PROPN	19	nsubj
19	vio	VERB	0	root
20	la	DET	21	det
21	necesidad	NOUN	19	obj
22	de	ADP	23	mark
23	ampliar	VERB	21	acl
24	la	DET	25	det
25	dimensión	NOUN	23	obj
26	del	ADP	27	case
27	espectáculo	NOUN	25	nmod
28	.	PUNCT	19	punct