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:
El Oscar es uno de ellos, el de esta película en concreto, pero cada día me invento un sueño por cumplir ", dijo redondeando una gran frase a la que sólo le faltaba música de fondo.
Postion	Tokenization
1	El
2	Oscar
3	es
4	uno
5	de
6	ellos
7	,
8	el
9	de
10	esta
11	película
12	en
13	concreto
14	,
15	pero
16	cada
17	día
18	me
19	invento
20	un
21	sueño
22	por
23	cumplir
24	"
25	,
26	dijo
27	redondeando
28	una
29	gran
30	frase
31	a
32	la
33	que
34	sólo
35	le
36	faltaba
37	música
38	de
39	fondo
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Oscar	PROPN	4	nsubj
3	es	AUX	4	cop
4	uno	PRON	26	ccomp
5	de	ADP	6	case
6	ellos	PRON	4	nmod
7	,	PUNCT	8	punct
8	el	DET	4	det
9	de	ADP	8	case
10	esta	DET	11	det
11	película	NOUN	8	appos
12	en	ADP	8	advmod
13	concreto	NOUN	12	fixed
14	,	PUNCT	8	punct
15	pero	CCONJ	19	cc
16	cada	DET	17	det
17	día	NOUN	19	obl
18	me	PRON	19	iobj
19	invento	VERB	4	conj
20	un	DET	21	det
21	sueño	NOUN	19	obj
22	por	ADP	23	mark
23	cumplir	VERB	21	acl
24	"	PUNCT	4	punct
25	,	PUNCT	4	punct
26	dijo	VERB	0	root
27	redondeando	VERB	26	advcl
28	una	DET	30	det
29	gran	ADJ	30	amod
30	frase	NOUN	27	obj
31	a	ADP	33	case
32	la	DET	33	det
33	que	PRON	36	obj
34	sólo	ADV	36	advmod
35	le	PRON	36	obj
36	faltaba	VERB	30	acl
37	música	NOUN	36	nsubj
38	de	ADP	37	advmod
39	fondo	NOUN	38	fixed
40	.	PUNCT	26	punct