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:
La agredida consideró que tiene "suerte", porque, "sin esta grabación, habría sido declarada culpable por insultar a un agente".
Postion	Tokenization
1	La
2	agredida
3	consideró
4	que
5	tiene
6	"
7	suerte
8	"
9	,
10	porque
11	,
12	"
13	sin
14	esta
15	grabación
16	,
17	habría
18	sido
19	declarada
20	culpable
21	por
22	insultar
23	a
24	un
25	agente
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	agredida	NOUN	3	nsubj
3	consideró	VERB	0	root
4	que	SCONJ	5	mark
5	tiene	VERB	3	ccomp
6	"	PUNCT	7	punct
7	suerte	NOUN	5	obj
8	"	PUNCT	7	punct
9	,	PUNCT	19	punct
10	porque	SCONJ	19	mark
11	,	PUNCT	19	punct
12	"	PUNCT	19	punct
13	sin	ADP	15	case
14	esta	DET	15	det
15	grabación	NOUN	19	obl
16	,	PUNCT	15	punct
17	habría	AUX	19	aux
18	sido	AUX	19	aux
19	declarada	VERB	5	advcl
20	culpable	ADJ	19	obj
21	por	ADP	22	mark
22	insultar	VERB	19	advcl
23	a	ADP	25	case
24	un	DET	25	det
25	agente	NOUN	22	obj
26	"	PUNCT	19	punct
27	.	PUNCT	3	punct