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:
Ayer, todas las emisoras de radio que informan sobre el estado del tráfico utilizaron la antigua y la nueva nomenclatura para no despistar a los oyentes.
Postion	Tokenization
1	Ayer
2	,
3	todas
4	las
5	emisoras
6	de
7	radio
8	que
9	informan
10	sobre
11	el
12	estado
13	del
14	tráfico
15	utilizaron
16	la
17	antigua
18	y
19	la
20	nueva
21	nomenclatura
22	para
23	no
24	despistar
25	a
26	los
27	oyentes
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayer	ADV	15	advmod
2	,	PUNCT	1	punct
3	todas	DET	4	det
4	las	DET	5	det
5	emisoras	NOUN	15	nsubj
6	de	ADP	7	case
7	radio	NOUN	5	nmod
8	que	PRON	9	nsubj
9	informan	VERB	5	acl
10	sobre	ADP	12	case
11	el	DET	12	det
12	estado	NOUN	9	obj
13	del	ADP	14	case
14	tráfico	NOUN	12	nmod
15	utilizaron	VERB	0	root
16	la	DET	17	det
17	antigua	ADJ	15	obj
18	y	CCONJ	21	cc
19	la	DET	21	det
20	nueva	ADJ	21	amod
21	nomenclatura	NOUN	17	conj
22	para	ADP	24	mark
23	no	ADV	24	advmod
24	despistar	VERB	15	advcl
25	a	ADP	27	case
26	los	DET	27	det
27	oyentes	NOUN	24	obj
28	.	PUNCT	15	punct