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:
LA PERIPECIA Oliveras inspeccionó la placa en la calle de la Cadena y pensando que el ayuntamiento la repondría de inmediato volvió a hacer los plafones dañados, semirrelieves de cerámica, para sustituirlos.
Postion	Tokenization
1	LA
2	PERIPECIA
3	Oliveras
4	inspeccionó
5	la
6	placa
7	en
8	la
9	calle
10	de
11	la
12	Cadena
13	y
14	pensando
15	que
16	el
17	ayuntamiento
18	la
19	repondría
20	de
21	inmediato
22	volvió
23	a
24	hacer
25	los
26	plafones
27	dañados
28	,
29	semirrelieves
30	de
31	cerámica
32	,
33	para
34	sustituirlos
35	sustituir
36	los
37	.
Position	Tokenization	UPOS	Head	Deprel
1	LA	DET	2	det
2	PERIPECIA	NOUN	4	dep
3	Oliveras	PROPN	4	nsubj
4	inspeccionó	VERB	0	root
5	la	DET	6	det
6	placa	NOUN	4	obj
7	en	ADP	9	case
8	la	DET	9	det
9	calle	NOUN	4	obl
10	de	ADP	12	case
11	la	DET	12	det
12	Cadena	PROPN	9	nmod
13	y	CCONJ	22	cc
14	pensando	VERB	24	advcl
15	que	SCONJ	19	mark
16	el	DET	17	det
17	ayuntamiento	NOUN	19	nsubj
18	la	PRON	19	obj
19	repondría	VERB	14	ccomp
20	de	ADP	19	advmod
21	inmediato	NOUN	20	fixed
22	volvió	VERB	4	conj
23	a	ADP	24	mark
24	hacer	VERB	22	xcomp
25	los	DET	26	det
26	plafones	NOUN	22	obj
27	dañados	ADJ	26	amod
28	,	PUNCT	29	punct
29	semirrelieves	NOUN	26	appos
30	de	ADP	31	case
31	cerámica	NOUN	29	nmod
32	,	PUNCT	29	punct
33	para	ADP	34	mark
34	sustituirlos	_	None	_
35	sustituir	VERB	24	advcl
36	los	PRON	34	obj
37	.	PUNCT	4	punct