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:
El diputado socialista advirtió al Gobierno español de que "el esfuerzo tan grande que se está haciendo hacia el Este no puede provocar un vacío de inseguridad en el Sur".
Postion	Tokenization
1	El
2	diputado
3	socialista
4	advirtió
5	al
6	Gobierno
7	español
8	de
9	que
10	"
11	el
12	esfuerzo
13	tan
14	grande
15	que
16	se
17	está
18	haciendo
19	hacia
20	el
21	Este
22	no
23	puede
24	provocar
25	un
26	vacío
27	de
28	inseguridad
29	en
30	el
31	Sur
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	diputado	NOUN	4	nsubj
3	socialista	ADJ	2	amod
4	advirtió	VERB	0	root
5	al	ADP	6	case
6	Gobierno	PROPN	4	iobj
7	español	ADJ	6	amod
8	de	ADP	24	mark
9	que	SCONJ	24	mark
10	"	PUNCT	24	punct
11	el	DET	12	det
12	esfuerzo	NOUN	24	nsubj
13	tan	ADV	14	advmod
14	grande	ADJ	12	amod
15	que	PRON	18	nsubj
16	se	PRON	18	expl:pass
17	está	AUX	18	aux
18	haciendo	VERB	12	acl
19	hacia	ADP	21	case
20	el	DET	21	det
21	Este	PROPN	18	obl
22	no	ADV	24	advmod
23	puede	AUX	24	aux
24	provocar	VERB	4	xcomp
25	un	DET	26	det
26	vacío	NOUN	24	obj
27	de	ADP	28	case
28	inseguridad	NOUN	26	nmod
29	en	ADP	31	case
30	el	DET	31	det
31	Sur	PROPN	24	obl
32	"	PUNCT	24	punct
33	.	PUNCT	4	punct