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:
Achúcarro abrirá el programa con obras de Bach - - Coral de la Cantata 147 y Tocata en do mayor - - y de Beethoven - - Sonata en mi mayor - -.
Postion	Tokenization
1	Achúcarro
2	abrirá
3	el
4	programa
5	con
6	obras
7	de
8	Bach
9	-
10	-
11	Coral
12	de
13	la
14	Cantata
15	147
16	y
17	Tocata
18	en
19	do
20	mayor
21	-
22	-
23	y
24	de
25	Beethoven
26	-
27	-
28	Sonata
29	en
30	mi
31	mayor
32	-
33	-
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Achúcarro	PROPN	2	nsubj
2	abrirá	VERB	0	root
3	el	DET	4	det
4	programa	NOUN	2	obj
5	con	ADP	6	case
6	obras	NOUN	2	obl
7	de	ADP	8	case
8	Bach	PROPN	6	nmod
9	-	PUNCT	11	punct
10	-	PUNCT	11	punct
11	Coral	PROPN	8	appos
12	de	ADP	14	case
13	la	DET	14	det
14	Cantata	PROPN	11	flat
15	147	NUM	14	nummod
16	y	CCONJ	17	cc
17	Tocata	PROPN	11	conj
18	en	ADP	20	case
19	do	ADP	20	case
20	mayor	PROPN	17	flat
21	-	PUNCT	11	punct
22	-	PUNCT	11	punct
23	y	CCONJ	25	cc
24	de	ADP	25	case
25	Beethoven	PROPN	8	conj
26	-	PUNCT	28	punct
27	-	PUNCT	28	punct
28	Sonata	PROPN	25	flat
29	en	ADP	30	case
30	mi	PROPN	28	flat
31	mayor	PROPN	30	flat
32	-	PUNCT	2	punct
33	-	PUNCT	2	punct
34	.	PUNCT	2	punct