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:
Quisiera protestar por el bochornoso reportaje que pudimos ver el Sábado día 27 de mayo en el informativo del mediodía de TVE-1, tanto por las imágenes distorsionadas que mostró como por las que no ofreció.
Postion	Tokenization
1	Quisiera
2	protestar
3	por
4	el
5	bochornoso
6	reportaje
7	que
8	pudimos
9	ver
10	el
11	Sábado
12	día
13	27
14	de
15	mayo
16	en
17	el
18	informativo
19	del
20	mediodía
21	de
22	TVE-1
23	,
24	tanto
25	por
26	las
27	imágenes
28	distorsionadas
29	que
30	mostró
31	como
32	por
33	las
34	que
35	no
36	ofreció
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Quisiera	VERB	0	root
2	protestar	VERB	1	xcomp
3	por	ADP	6	case
4	el	DET	6	det
5	bochornoso	ADJ	6	amod
6	reportaje	NOUN	2	obl
7	que	PRON	9	obj
8	pudimos	AUX	9	aux
9	ver	VERB	6	acl
10	el	DET	11	det
11	Sábado	NOUN	9	obl
12	día	NOUN	11	appos
13	27	NUM	12	compound
14	de	ADP	15	case
15	mayo	NOUN	12	compound
16	en	ADP	18	case
17	el	DET	18	det
18	informativo	NOUN	9	obl
19	del	ADP	20	case
20	mediodía	NOUN	18	nmod
21	de	ADP	22	case
22	TVE-1	PROPN	20	nmod
23	,	PUNCT	27	punct
24	tanto	ADV	27	cc
25	por	ADP	27	case
26	las	DET	27	det
27	imágenes	NOUN	2	obl
28	distorsionadas	ADJ	27	amod
29	que	PRON	30	obj
30	mostró	VERB	27	acl
31	como	SCONJ	36	cc
32	por	ADP	36	mark
33	las	DET	36	det
34	que	PRON	36	obj
35	no	ADV	36	advmod
36	ofreció	VERB	27	conj
37	.	PUNCT	1	punct