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:
Jufresa entiende, además, que "se trata de los mismos delitos" y que un ciudadano español "no puede ser juzgado dos veces por el mismo hecho".
Postion	Tokenization
1	Jufresa
2	entiende
3	,
4	además
5	,
6	que
7	"
8	se
9	trata
10	de
11	los
12	mismos
13	delitos
14	"
15	y
16	que
17	un
18	ciudadano
19	español
20	"
21	no
22	puede
23	ser
24	juzgado
25	dos
26	veces
27	por
28	el
29	mismo
30	hecho
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Jufresa	PROPN	2	nsubj
2	entiende	VERB	0	root
3	,	PUNCT	4	punct
4	además	ADV	2	advmod
5	,	PUNCT	4	punct
6	que	SCONJ	9	mark
7	"	PUNCT	9	punct
8	se	PRON	9	expl:impers
9	trata	VERB	2	ccomp
10	de	ADP	13	case
11	los	DET	13	det
12	mismos	DET	11	det
13	delitos	NOUN	9	obj
14	"	PUNCT	24	punct
15	y	CCONJ	24	cc
16	que	SCONJ	24	mark
17	un	DET	18	det
18	ciudadano	NOUN	24	nsubj
19	español	ADJ	18	amod
20	"	PUNCT	24	punct
21	no	ADV	24	advmod
22	puede	AUX	24	aux
23	ser	AUX	24	aux
24	juzgado	VERB	9	conj
25	dos	NUM	26	nummod
26	veces	NOUN	24	obl
27	por	ADP	30	case
28	el	DET	30	det
29	mismo	DET	28	det
30	hecho	NOUN	24	obl
31	"	PUNCT	24	punct
32	.	PUNCT	2	punct