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:
Según explicó el director de operaciones, Aurelio Rojo, "en ningún momento hubo riesgo para los pasajeros, porque el sistema de supervisión del metro funcionó a la perfección".
Postion	Tokenization
1	Según
2	explicó
3	el
4	director
5	de
6	operaciones
7	,
8	Aurelio
9	Rojo
10	,
11	"
12	en
13	ningún
14	momento
15	hubo
16	riesgo
17	para
18	los
19	pasajeros
20	,
21	porque
22	el
23	sistema
24	de
25	supervisión
26	del
27	metro
28	funcionó
29	a
30	la
31	perfección
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	SCONJ	2	mark
2	explicó	VERB	15	advcl
3	el	DET	4	det
4	director	NOUN	2	nsubj
5	de	ADP	6	case
6	operaciones	NOUN	4	nmod
7	,	PUNCT	8	punct
8	Aurelio	PROPN	4	appos
9	Rojo	PROPN	8	flat
10	,	PUNCT	8	punct
11	"	PUNCT	15	punct
12	en	ADP	14	case
13	ningún	DET	14	det
14	momento	NOUN	15	obl
15	hubo	AUX	0	root
16	riesgo	NOUN	15	obj
17	para	ADP	19	case
18	los	DET	19	det
19	pasajeros	NOUN	16	nmod
20	,	PUNCT	28	punct
21	porque	SCONJ	28	mark
22	el	DET	23	det
23	sistema	NOUN	28	nsubj
24	de	ADP	25	case
25	supervisión	NOUN	23	nmod
26	del	ADP	27	case
27	metro	NOUN	25	nmod
28	funcionó	VERB	15	advcl
29	a	ADP	28	advmod
30	la	DET	29	fixed
31	perfección	NOUN	29	fixed
32	"	PUNCT	15	punct
33	.	PUNCT	15	punct