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:
"Si él, en el brillo del mejor Renacimiento, así lo creía, ¿por qué hoy no hemos de olvidarnos de las menudas miserias y ahincarnos en el estudio?"
Postion	Tokenization
1	"
2	Si
3	él
4	,
5	en
6	el
7	brillo
8	del
9	mejor
10	Renacimiento
11	,
12	así
13	lo
14	creía
15	,
16	¿
17	por
18	qué
19	hoy
20	no
21	hemos
22	de
23	olvidarnos
24	olvidar
25	nos
26	de
27	las
28	menudas
29	miserias
30	y
31	ahincarnos
32	ahincar
33	nos
34	en
35	el
36	estudio
37	?
38	"
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	14	punct
2	Si	SCONJ	14	mark
3	él	PRON	14	nsubj
4	,	PUNCT	7	punct
5	en	ADP	7	case
6	el	DET	7	det
7	brillo	NOUN	14	obl
8	del	ADP	10	case
9	mejor	ADJ	10	amod
10	Renacimiento	PROPN	7	nmod
11	,	PUNCT	7	punct
12	así	ADV	14	advmod
13	lo	PRON	14	obj
14	creía	VERB	0	root
15	,	PUNCT	14	punct
16	¿	PUNCT	23	punct
17	por	ADP	18	case
18	qué	PRON	23	obl
19	hoy	ADV	23	advmod
20	no	ADV	23	advmod
21	hemos	AUX	23	aux
22	de	ADP	23	mark
23	olvidarnos	_	None	_
24	olvidar	VERB	14	advcl
25	nos	PRON	23	expl:pv
26	de	ADP	28	case
27	las	DET	28	det
28	menudas	ADJ	28	amod
29	miserias	NOUN	23	obj
30	y	CCONJ	30	cc
31	ahincarnos	_	None	_
32	ahincar	VERB	23	conj
33	nos	PRON	30	expl:pv
34	en	ADP	34	case
35	el	DET	34	det
36	estudio	NOUN	30	obl
37	?	PUNCT	14	punct
38	"	PUNCT	14	punct