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:
Espichán dijo que si se produce esta situación "habría que enjuiciar no sólo a Lori Berenson sino a todos los terroristas comenzando por Abimael Guzmán".
Postion	Tokenization
1	Espichán
2	dijo
3	que
4	si
5	se
6	produce
7	esta
8	situación
9	"
10	habría
11	que
12	enjuiciar
13	no
14	sólo
15	a
16	Lori
17	Berenson
18	sino
19	a
20	todos
21	los
22	terroristas
23	comenzando
24	por
25	Abimael
26	Guzmán
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Espichán	PROPN	2	nsubj
2	dijo	VERB	0	root
3	que	SCONJ	12	mark
4	si	SCONJ	6	mark
5	se	PRON	6	expl:pv
6	produce	VERB	12	advcl
7	esta	DET	8	det
8	situación	NOUN	6	nsubj
9	"	PUNCT	10	punct
10	habría	AUX	2	ccomp
11	que	SCONJ	12	cc
12	enjuiciar	VERB	10	conj
13	no	PART	16	cc
14	sólo	ADV	13	fixed
15	a	ADP	16	case
16	Lori	PROPN	12	obj
17	Berenson	PROPN	16	flat
18	sino	CCONJ	22	cc
19	a	ADP	22	case
20	todos	DET	21	det
21	los	DET	22	det
22	terroristas	NOUN	16	conj
23	comenzando	VERB	22	acl
24	por	ADP	25	case
25	Abimael	PROPN	23	obl
26	Guzmán	PROPN	25	flat
27	"	PUNCT	10	punct
28	.	PUNCT	2	punct