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 obra consta de una A mayúscula - - esas del poeta robustas, simples e inconfundibles - - que se colocará en la entrada del museo sobre una columna con la leyenda A de cinema.
Postion	Tokenization
1	La
2	obra
3	consta
4	de
5	una
6	A
7	mayúscula
8	-
9	-
10	esas
11	del
12	poeta
13	robustas
14	,
15	simples
16	e
17	inconfundibles
18	-
19	-
20	que
21	se
22	colocará
23	en
24	la
25	entrada
26	del
27	museo
28	sobre
29	una
30	columna
31	con
32	la
33	leyenda
34	A
35	de
36	cinema
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	obra	NOUN	3	nsubj
3	consta	VERB	0	root
4	de	ADP	6	case
5	una	DET	6	det
6	A	NOUN	3	obj
7	mayúscula	ADJ	6	amod
8	-	PUNCT	10	punct
9	-	PUNCT	10	punct
10	esas	PRON	6	appos
11	del	ADP	12	case
12	poeta	NOUN	10	nmod
13	robustas	ADJ	10	amod
14	,	PUNCT	15	punct
15	simples	ADJ	13	conj
16	e	CCONJ	17	cc
17	inconfundibles	ADJ	13	conj
18	-	PUNCT	10	punct
19	-	PUNCT	10	punct
20	que	PRON	22	nsubj
21	se	PRON	22	expl:pass
22	colocará	VERB	6	acl
23	en	ADP	25	case
24	la	DET	25	det
25	entrada	NOUN	22	obl
26	del	ADP	27	case
27	museo	NOUN	25	nmod
28	sobre	ADP	30	case
29	una	DET	30	det
30	columna	NOUN	22	obl
31	con	ADP	33	case
32	la	DET	33	det
33	leyenda	NOUN	30	nmod
34	A	NOUN	33	appos
35	de	ADP	36	case
36	cinema	NOUN	33	nmod
37	.	PUNCT	3	punct