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:
Protestamos, pero no tanto como el año pasado, cuando sufrimos los mismos problemas y los organizadores nos trataron muy mal ", explicó el argentino Martín Garrido, compañero en el Relax del fallecido Morales.
Postion	Tokenization
1	Protestamos
2	,
3	pero
4	no
5	tanto
6	como
7	el
8	año
9	pasado
10	,
11	cuando
12	sufrimos
13	los
14	mismos
15	problemas
16	y
17	los
18	organizadores
19	nos
20	trataron
21	muy
22	mal
23	"
24	,
25	explicó
26	el
27	argentino
28	Martín
29	Garrido
30	,
31	compañero
32	en
33	el
34	Relax
35	del
36	fallecido
37	Morales
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Protestamos	VERB	25	ccomp
2	,	PUNCT	5	punct
3	pero	CCONJ	5	cc
4	no	ADV	5	advmod
5	tanto	ADV	1	conj
6	como	SCONJ	8	case
7	el	DET	8	det
8	año	NOUN	5	obl
9	pasado	ADJ	8	amod
10	,	PUNCT	12	punct
11	cuando	PRON	12	obl
12	sufrimos	VERB	8	acl
13	los	DET	15	det
14	mismos	DET	13	det
15	problemas	NOUN	12	obj
16	y	CCONJ	20	cc
17	los	DET	18	det
18	organizadores	NOUN	20	nsubj
19	nos	PRON	20	obj
20	trataron	VERB	12	conj
21	muy	ADV	22	advmod
22	mal	ADV	20	advmod
23	"	PUNCT	1	punct
24	,	PUNCT	1	punct
25	explicó	VERB	0	root
26	el	DET	27	det
27	argentino	NOUN	25	nsubj
28	Martín	PROPN	27	appos
29	Garrido	PROPN	28	flat
30	,	PUNCT	31	punct
31	compañero	NOUN	27	appos
32	en	ADP	34	case
33	el	DET	34	det
34	Relax	PROPN	31	nmod
35	del	ADP	36	case
36	fallecido	ADJ	31	amod
37	Morales	PROPN	36	obj
38	.	PUNCT	25	punct