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:
O, como dijo Agata Roca en la presentación de la serie, la "asignatura pendiente" de este grupo teatral, que lleva 10 años triunfando en los escenarios.
Postion	Tokenization
1	O
2	,
3	como
4	dijo
5	Agata
6	Roca
7	en
8	la
9	presentación
10	de
11	la
12	serie
13	,
14	la
15	"
16	asignatura
17	pendiente
18	"
19	de
20	este
21	grupo
22	teatral
23	,
24	que
25	lleva
26	10
27	años
28	triunfando
29	en
30	los
31	escenarios
32	.
Position	Tokenization	UPOS	Head	Deprel
1	O	CCONJ	4	cc
2	,	PUNCT	4	punct
3	como	SCONJ	4	mark
4	dijo	VERB	0	root
5	Agata	PROPN	4	nsubj
6	Roca	PROPN	5	flat
7	en	ADP	9	case
8	la	DET	9	det
9	presentación	NOUN	4	obl
10	de	ADP	12	case
11	la	DET	12	det
12	serie	NOUN	9	nmod
13	,	PUNCT	4	punct
14	la	DET	16	det
15	"	PUNCT	16	punct
16	asignatura	NOUN	4	obj
17	pendiente	ADJ	16	amod
18	"	PUNCT	16	punct
19	de	ADP	21	case
20	este	DET	21	det
21	grupo	NOUN	16	nmod
22	teatral	ADJ	21	amod
23	,	PUNCT	25	punct
24	que	PRON	25	nsubj
25	lleva	VERB	21	acl
26	10	NUM	27	nummod
27	años	NOUN	25	obl
28	triunfando	VERB	25	advcl
29	en	ADP	31	case
30	los	DET	31	det
31	escenarios	NOUN	28	obl
32	.	PUNCT	4	punct