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:
En ellas, escribe que Nixon estaba tan "fuera de sí" por lo que percibía "como otra Cuba" que eso explicaba "su insistencia en hacer cualquier cosa que anulara la negligencia anterior".
Postion	Tokenization
1	En
2	ellas
3	,
4	escribe
5	que
6	Nixon
7	estaba
8	tan
9	"
10	fuera
11	de
12	sí
13	"
14	por
15	lo
16	que
17	percibía
18	"
19	como
20	otra
21	Cuba
22	"
23	que
24	eso
25	explicaba
26	"
27	su
28	insistencia
29	en
30	hacer
31	cualquier
32	cosa
33	que
34	anulara
35	la
36	negligencia
37	anterior
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	ellas	PRON	4	obl
3	,	PUNCT	2	punct
4	escribe	VERB	0	root
5	que	SCONJ	8	mark
6	Nixon	PROPN	8	nsubj
7	estaba	AUX	8	cop
8	tan	ADV	4	ccomp
9	"	PUNCT	8	punct
10	fuera	NOUN	8	advmod
11	de	ADP	10	fixed
12	sí	NOUN	10	fixed
13	"	PUNCT	8	punct
14	por	ADP	17	mark
15	lo	PRON	17	det
16	que	PRON	17	obj
17	percibía	VERB	8	advcl
18	"	PUNCT	21	punct
19	como	SCONJ	21	mark
20	otra	DET	21	det
21	Cuba	PROPN	17	obj
22	"	PUNCT	21	punct
23	que	SCONJ	25	mark
24	eso	PRON	25	nsubj
25	explicaba	VERB	8	advcl
26	"	PUNCT	28	punct
27	su	DET	28	det
28	insistencia	NOUN	25	obj
29	en	ADP	30	mark
30	hacer	VERB	28	acl
31	cualquier	DET	32	det
32	cosa	NOUN	30	obj
33	que	PRON	34	nsubj
34	anulara	VERB	32	acl
35	la	DET	36	det
36	negligencia	NOUN	34	obj
37	anterior	ADJ	36	amod
38	"	PUNCT	28	punct
39	.	PUNCT	4	punct