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:
Y así, el auditorio recibió entusiasmado títulos como Dream another dream, Lucky number, Broken barbie doll, Hard candy, Summer's over y la apoteósica Quarantine.
Postion	Tokenization
1	Y
2	así
3	,
4	el
5	auditorio
6	recibió
7	entusiasmado
8	títulos
9	como
10	Dream
11	another
12	dream
13	,
14	Lucky
15	number
16	,
17	Broken
18	barbie
19	doll
20	,
21	Hard
22	candy
23	,
24	Summer's
25	over
26	y
27	la
28	apoteósica
29	Quarantine
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	6	advmod
2	así	ADV	6	advmod
3	,	PUNCT	2	punct
4	el	DET	5	det
5	auditorio	NOUN	6	nsubj
6	recibió	VERB	0	root
7	entusiasmado	ADJ	6	obj
8	títulos	NOUN	6	obj
9	como	SCONJ	10	mark
10	Dream	PROPN	8	nmod
11	another	PROPN	10	flat
12	dream	PROPN	10	flat
13	,	PUNCT	14	punct
14	Lucky	PROPN	10	flat
15	number	PROPN	14	flat
16	,	PUNCT	17	punct
17	Broken	PROPN	10	flat
18	barbie	PROPN	17	flat
19	doll	PROPN	17	flat
20	,	PUNCT	21	punct
21	Hard	PROPN	10	flat
22	candy	PROPN	21	flat
23	,	PUNCT	24	punct
24	Summer's	PROPN	10	flat
25	over	PROPN	24	flat
26	y	CCONJ	29	cc
27	la	DET	29	det
28	apoteósica	ADJ	29	amod
29	Quarantine	PROPN	10	conj
30	.	PUNCT	6	punct