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:
Pero al menos los telediarios deberían salvaguardar la racionalidad y la ética de una información desapasionada, más allá de las ratios de audiencia.
Postion	Tokenization
1	Pero
2	al
3	menos
4	los
5	telediarios
6	deberían
7	salvaguardar
8	la
9	racionalidad
10	y
11	la
12	ética
13	de
14	una
15	información
16	desapasionada
17	,
18	más
19	allá
20	de
21	las
22	ratios
23	de
24	audiencia
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	7	advmod
2	al	ADP	5	advmod
3	menos	ADV	2	fixed
4	los	DET	5	det
5	telediarios	NOUN	7	nsubj
6	deberían	AUX	7	aux
7	salvaguardar	VERB	0	root
8	la	DET	9	det
9	racionalidad	NOUN	7	obj
10	y	CCONJ	12	cc
11	la	DET	12	det
12	ética	NOUN	9	conj
13	de	ADP	15	case
14	una	DET	15	det
15	información	NOUN	9	nmod
16	desapasionada	ADJ	15	amod
17	,	PUNCT	19	punct
18	más	ADV	19	advmod
19	allá	ADV	7	advmod
20	de	ADP	22	case
21	las	DET	22	det
22	ratios	NOUN	19	obl
23	de	ADP	24	case
24	audiencia	NOUN	22	nmod
25	.	PUNCT	7	punct