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:
Así, ayer, en los paneles informativos de diversas vías importantes, Trànsit incluyó un mensaje: "Entre todos hemos reducido los accidentes. Gracias por su ayuda".
Postion	Tokenization
1	Así
2	,
3	ayer
4	,
5	en
6	los
7	paneles
8	informativos
9	de
10	diversas
11	vías
12	importantes
13	,
14	Trànsit
15	incluyó
16	un
17	mensaje
18	:
19	"
20	Entre
21	todos
22	hemos
23	reducido
24	los
25	accidentes
26	.
27	Gracias
28	por
29	su
30	ayuda
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Así	ADV	15	advmod
2	,	PUNCT	3	punct
3	ayer	ADV	15	advmod
4	,	PUNCT	3	punct
5	en	ADP	7	case
6	los	DET	7	det
7	paneles	NOUN	15	obl
8	informativos	ADJ	7	amod
9	de	ADP	11	case
10	diversas	DET	11	det
11	vías	NOUN	7	nmod
12	importantes	ADJ	11	amod
13	,	PUNCT	7	punct
14	Trànsit	PROPN	15	nsubj
15	incluyó	VERB	0	root
16	un	DET	17	det
17	mensaje	NOUN	15	obj
18	:	PUNCT	23	punct
19	"	PUNCT	23	punct
20	Entre	ADP	21	case
21	todos	PRON	23	obl
22	hemos	AUX	23	aux
23	reducido	VERB	17	acl
24	los	DET	25	det
25	accidentes	NOUN	23	obj
26	.	PUNCT	23	punct
27	Gracias	INTJ	23	dep
28	por	ADP	27	case
29	su	DET	30	det
30	ayuda	NOUN	27	obl
31	"	PUNCT	23	punct
32	.	PUNCT	15	punct