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 programación será sólo la punta del iceberg, ya que este será un espacio para la investigación teatral y circense", explica Cumellas.
Postion	Tokenization
1	"
2	La
3	programación
4	será
5	sólo
6	la
7	punta
8	del
9	iceberg
10	,
11	ya
12	que
13	este
14	será
15	un
16	espacio
17	para
18	la
19	investigación
20	teatral
21	y
22	circense
23	"
24	,
25	explica
26	Cumellas
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	La	DET	3	det
3	programación	NOUN	7	nsubj
4	será	AUX	7	cop
5	sólo	ADV	7	advmod
6	la	DET	7	det
7	punta	NOUN	25	ccomp
8	del	ADP	9	case
9	iceberg	NOUN	7	nmod
10	,	PUNCT	16	punct
11	ya	ADV	16	mark
12	que	SCONJ	11	fixed
13	este	PRON	16	nsubj
14	será	AUX	16	cop
15	un	DET	16	det
16	espacio	NOUN	7	advcl
17	para	ADP	19	case
18	la	DET	19	det
19	investigación	NOUN	16	nmod
20	teatral	ADJ	19	amod
21	y	CCONJ	22	cc
22	circense	ADJ	20	conj
23	"	PUNCT	7	punct
24	,	PUNCT	7	punct
25	explica	VERB	0	root
26	Cumellas	PROPN	25	nsubj
27	.	PUNCT	25	punct