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:
Agregó que esta semana última "he trabajado muchísimo" y "desde que el Tribunal Supremo decidió aplazar los comicios, guardé mi arsenal de campaña".
Postion	Tokenization
1	Agregó
2	que
3	esta
4	semana
5	última
6	"
7	he
8	trabajado
9	muchísimo
10	"
11	y
12	"
13	desde
14	que
15	el
16	Tribunal
17	Supremo
18	decidió
19	aplazar
20	los
21	comicios
22	,
23	guardé
24	mi
25	arsenal
26	de
27	campaña
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Agregó	VERB	0	root
2	que	SCONJ	8	mark
3	esta	DET	4	det
4	semana	NOUN	8	obl
5	última	ADJ	4	amod
6	"	PUNCT	8	punct
7	he	AUX	8	aux
8	trabajado	VERB	1	ccomp
9	muchísimo	ADJ	8	advmod
10	"	PUNCT	23	punct
11	y	CCONJ	23	cc
12	"	PUNCT	23	punct
13	desde	ADP	18	mark
14	que	SCONJ	18	mark
15	el	DET	16	det
16	Tribunal	PROPN	18	nsubj
17	Supremo	PROPN	16	flat
18	decidió	VERB	23	advcl
19	aplazar	VERB	18	xcomp
20	los	DET	21	det
21	comicios	NOUN	19	obj
22	,	PUNCT	18	punct
23	guardé	VERB	8	conj
24	mi	DET	25	det
25	arsenal	NOUN	23	obj
26	de	ADP	27	case
27	campaña	NOUN	25	nmod
28	"	PUNCT	23	punct
29	.	PUNCT	1	punct