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:
Lo dijo al pasar, viendo un grabado de Fermina Daza disfrazada de pantera negra en un baile de máscaras, y no tuvo que mencionar a nadie para que Florentino Ariza supiera de quién hablaba.
Postion	Tokenization
1	Lo
2	dijo
3	al
4	pasar
5	,
6	viendo
7	un
8	grabado
9	de
10	Fermina
11	Daza
12	disfrazada
13	de
14	pantera
15	negra
16	en
17	un
18	baile
19	de
20	máscaras
21	,
22	y
23	no
24	tuvo
25	que
26	mencionar
27	a
28	nadie
29	para
30	que
31	Florentino
32	Ariza
33	supiera
34	de
35	quién
36	hablaba
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	2	obj
2	dijo	VERB	0	root
3	al	ADP	4	mark
4	pasar	VERB	2	advcl
5	,	PUNCT	6	punct
6	viendo	VERB	2	advcl
7	un	DET	8	det
8	grabado	NOUN	6	obj
9	de	ADP	10	case
10	Fermina	PROPN	8	nmod
11	Daza	PROPN	10	flat
12	disfrazada	ADJ	10	amod
13	de	ADP	14	case
14	pantera	NOUN	12	obl
15	negra	ADJ	14	amod
16	en	ADP	18	case
17	un	DET	18	det
18	baile	NOUN	12	obl
19	de	ADP	20	case
20	máscaras	NOUN	18	nmod
21	,	PUNCT	6	punct
22	y	CCONJ	24	cc
23	no	ADV	26	advmod
24	tuvo	VERB	2	conj
25	que	SCONJ	26	cc
26	mencionar	VERB	24	conj
27	a	ADP	28	case
28	nadie	PRON	26	obj
29	para	ADP	33	mark
30	que	SCONJ	33	mark
31	Florentino	PROPN	33	nsubj
32	Ariza	PROPN	31	flat
33	supiera	VERB	26	advcl
34	de	ADP	35	case
35	quién	PRON	36	obj
36	hablaba	VERB	33	ccomp
37	.	PUNCT	2	punct