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 concejal deduce que se aprovechó de la indefinición de la época, a caballo entre la dictadura y los ayuntamientos democráticos, para lograr la licencia municipal de obras.
Postion	Tokenization
1	El
2	concejal
3	deduce
4	que
5	se
6	aprovechó
7	de
8	la
9	indefinición
10	de
11	la
12	época
13	,
14	a
15	caballo
16	entre
17	la
18	dictadura
19	y
20	los
21	ayuntamientos
22	democráticos
23	,
24	para
25	lograr
26	la
27	licencia
28	municipal
29	de
30	obras
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	concejal	NOUN	3	nsubj
3	deduce	VERB	0	root
4	que	SCONJ	6	mark
5	se	PRON	6	expl:pv
6	aprovechó	VERB	3	ccomp
7	de	ADP	9	case
8	la	DET	9	det
9	indefinición	NOUN	6	obj
10	de	ADP	12	case
11	la	DET	12	det
12	época	NOUN	9	nmod
13	,	PUNCT	14	punct
14	a	ADP	12	advmod
15	caballo	NOUN	14	fixed
16	entre	ADP	18	case
17	la	DET	18	det
18	dictadura	NOUN	14	obl
19	y	CCONJ	21	cc
20	los	DET	21	det
21	ayuntamientos	NOUN	18	conj
22	democráticos	ADJ	21	amod
23	,	PUNCT	25	punct
24	para	ADP	25	mark
25	lograr	VERB	6	advcl
26	la	DET	27	det
27	licencia	NOUN	25	obj
28	municipal	ADJ	27	amod
29	de	ADP	30	case
30	obras	NOUN	27	nmod
31	.	PUNCT	3	punct