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 Xavier Oliveras le encargó el monumento Enric Ángela, secretario general del Sindicato de Cuadros de Catalunya en 1983, tras fijarse en una placa del ceramista dedicada a Francesc Layret en la calle de Balmes.
Postion	Tokenization
1	A
2	Xavier
3	Oliveras
4	le
5	encargó
6	el
7	monumento
8	Enric
9	Ángela
10	,
11	secretario
12	general
13	del
14	Sindicato
15	de
16	Cuadros
17	de
18	Catalunya
19	en
20	1983
21	,
22	tras
23	fijarse
24	fijar
25	se
26	en
27	una
28	placa
29	del
30	ceramista
31	dedicada
32	a
33	Francesc
34	Layret
35	en
36	la
37	calle
38	de
39	Balmes
40	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	2	case
2	Xavier	PROPN	5	obj
3	Oliveras	PROPN	2	flat
4	le	PRON	5	obj
5	encargó	VERB	0	root
6	el	DET	7	det
7	monumento	NOUN	5	obj
8	Enric	PROPN	5	nsubj
9	Ángela	PROPN	8	flat
10	,	PUNCT	11	punct
11	secretario	NOUN	8	appos
12	general	ADJ	11	amod
13	del	ADP	14	case
14	Sindicato	PROPN	11	nmod
15	de	ADP	16	case
16	Cuadros	PROPN	14	flat
17	de	ADP	18	case
18	Catalunya	PROPN	14	flat
19	en	ADP	20	case
20	1983	NOUN	11	nmod
21	,	PUNCT	11	punct
22	tras	ADP	23	mark
23	fijarse	_	None	_
24	fijar	VERB	5	advcl
25	se	PRON	23	expl:pv
26	en	ADP	27	case
27	una	DET	27	det
28	placa	NOUN	23	obj
29	del	ADP	29	case
30	ceramista	NOUN	27	nmod
31	dedicada	ADJ	27	amod
32	a	ADP	32	case
33	Francesc	PROPN	30	obj
34	Layret	PROPN	32	flat
35	en	ADP	36	case
36	la	DET	36	det
37	calle	NOUN	30	obl
38	de	ADP	38	case
39	Balmes	PROPN	36	nmod
40	.	PUNCT	5	punct