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 alcalde, Joan Clos, prometió a los afectados la "máxima presión" para activar la reconstrucción del edificio, en una visita al lugar de la explosión.
Postion	Tokenization
1	El
2	alcalde
3	,
4	Joan
5	Clos
6	,
7	prometió
8	a
9	los
10	afectados
11	la
12	"
13	máxima
14	presión
15	"
16	para
17	activar
18	la
19	reconstrucción
20	del
21	edificio
22	,
23	en
24	una
25	visita
26	al
27	lugar
28	de
29	la
30	explosión
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	alcalde	NOUN	7	nsubj
3	,	PUNCT	4	punct
4	Joan	PROPN	2	appos
5	Clos	PROPN	4	flat
6	,	PUNCT	4	punct
7	prometió	VERB	0	root
8	a	ADP	10	case
9	los	DET	10	det
10	afectados	NOUN	7	obj
11	la	DET	14	det
12	"	PUNCT	14	punct
13	máxima	ADJ	14	amod
14	presión	NOUN	7	obj
15	"	PUNCT	14	punct
16	para	ADP	17	mark
17	activar	VERB	14	acl
18	la	DET	19	det
19	reconstrucción	NOUN	17	obj
20	del	ADP	21	case
21	edificio	NOUN	19	nmod
22	,	PUNCT	25	punct
23	en	ADP	25	case
24	una	DET	25	det
25	visita	NOUN	7	obl
26	al	ADP	27	case
27	lugar	NOUN	25	nmod
28	de	ADP	30	case
29	la	DET	30	det
30	explosión	NOUN	27	nmod
31	.	PUNCT	7	punct