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:
A este respecto, el ministro de Defensa, Federico Trillo, advirtió ayer de que el que no se incorpore "tendrá las medidas sancionadoras que el Estado ha previsto".
Postion	Tokenization
1	A
2	este
3	respecto
4	,
5	el
6	ministro
7	de
8	Defensa
9	,
10	Federico
11	Trillo
12	,
13	advirtió
14	ayer
15	de
16	que
17	el
18	que
19	no
20	se
21	incorpore
22	"
23	tendrá
24	las
25	medidas
26	sancionadoras
27	que
28	el
29	Estado
30	ha
31	previsto
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	este	DET	3	det
3	respecto	NOUN	13	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	ministro	NOUN	13	nsubj
7	de	ADP	8	case
8	Defensa	PROPN	6	nmod
9	,	PUNCT	10	punct
10	Federico	PROPN	6	appos
11	Trillo	PROPN	10	flat
12	,	PUNCT	10	punct
13	advirtió	VERB	0	root
14	ayer	ADV	13	advmod
15	de	ADP	23	mark
16	que	SCONJ	23	mark
17	el	DET	21	det
18	que	PRON	21	nsubj
19	no	ADV	21	advmod
20	se	PRON	21	expl:pv
21	incorpore	VERB	23	csubj
22	"	PUNCT	23	punct
23	tendrá	VERB	13	ccomp
24	las	DET	25	det
25	medidas	NOUN	23	obj
26	sancionadoras	ADJ	25	amod
27	que	PRON	31	obj
28	el	DET	29	det
29	Estado	PROPN	31	nsubj
30	ha	AUX	31	aux
31	previsto	VERB	25	acl
32	"	PUNCT	23	punct
33	.	PUNCT	13	punct