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:
No es lógico que se cometan estas dejadeces después de que AENA se decida a ejecutar una reorganización que debe tener muy estudiada y basada en criterios de funcionalidad y se supone que también de rentabilidad.
Postion	Tokenization
1	No
2	es
3	lógico
4	que
5	se
6	cometan
7	estas
8	dejadeces
9	después
10	de
11	que
12	AENA
13	se
14	decida
15	a
16	ejecutar
17	una
18	reorganización
19	que
20	debe
21	tener
22	muy
23	estudiada
24	y
25	basada
26	en
27	criterios
28	de
29	funcionalidad
30	y
31	se
32	supone
33	que
34	también
35	de
36	rentabilidad
37	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	3	advmod
2	es	AUX	3	cop
3	lógico	ADJ	0	root
4	que	SCONJ	6	mark
5	se	PRON	6	expl:pass
6	cometan	VERB	3	csubj
7	estas	DET	8	det
8	dejadeces	NOUN	6	nsubj
9	después	ADV	6	advmod
10	de	ADP	14	mark
11	que	SCONJ	14	mark
12	AENA	PROPN	14	nsubj
13	se	PRON	14	expl:pv
14	decida	VERB	9	advcl
15	a	ADP	16	mark
16	ejecutar	VERB	14	xcomp
17	una	DET	18	det
18	reorganización	NOUN	16	obj
19	que	PRON	21	obj
20	debe	AUX	21	aux
21	tener	VERB	18	acl
22	muy	ADV	23	advmod
23	estudiada	ADJ	21	obj
24	y	CCONJ	25	cc
25	basada	ADJ	23	conj
26	en	ADP	27	case
27	criterios	NOUN	25	obj
28	de	ADP	29	case
29	funcionalidad	NOUN	27	nmod
30	y	CCONJ	32	cc
31	se	PRON	32	expl:pass
32	supone	VERB	29	conj
33	que	SCONJ	32	mark
34	también	ADV	32	advmod
35	de	ADP	32	mark
36	rentabilidad	NOUN	32	nmod
37	.	PUNCT	3	punct