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:
"No quiero parecer demasiado melancólica, pero él era mi guía, mi luz, y hoy es difícil encontrar el mismo significado en las cosas", explicó ayer la actriz italiana.
Postion	Tokenization
1	"
2	No
3	quiero
4	parecer
5	demasiado
6	melancólica
7	,
8	pero
9	él
10	era
11	mi
12	guía
13	,
14	mi
15	luz
16	,
17	y
18	hoy
19	es
20	difícil
21	encontrar
22	el
23	mismo
24	significado
25	en
26	las
27	cosas
28	"
29	,
30	explicó
31	ayer
32	la
33	actriz
34	italiana
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	No	ADV	3	advmod
3	quiero	VERB	30	ccomp
4	parecer	VERB	3	xcomp
5	demasiado	ADV	4	advmod
6	melancólica	ADJ	4	xcomp
7	,	PUNCT	12	punct
8	pero	CCONJ	12	cc
9	él	PRON	12	nsubj
10	era	AUX	12	cop
11	mi	DET	12	det
12	guía	NOUN	3	conj
13	,	PUNCT	12	punct
14	mi	DET	15	det
15	luz	NOUN	12	appos
16	,	PUNCT	20	punct
17	y	CCONJ	20	cc
18	hoy	ADV	20	advmod
19	es	AUX	20	cop
20	difícil	ADJ	12	conj
21	encontrar	VERB	20	csubj
22	el	DET	24	det
23	mismo	DET	22	det
24	significado	NOUN	21	obj
25	en	ADP	27	case
26	las	DET	27	det
27	cosas	NOUN	21	obl
28	"	PUNCT	3	punct
29	,	PUNCT	3	punct
30	explicó	VERB	0	root
31	ayer	ADV	30	advmod
32	la	DET	33	det
33	actriz	NOUN	30	nsubj
34	italiana	ADJ	33	amod
35	.	PUNCT	30	punct