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:
De esta forma, cuando el doctor Meagher quiere llevar a cabo una actividad - - como, por ejemplo, encender el televisor - - fija su mirada en el recuadro donde aparece escrito TV-IN.
Postion	Tokenization
1	De
2	esta
3	forma
4	,
5	cuando
6	el
7	doctor
8	Meagher
9	quiere
10	llevar
11	a
12	cabo
13	una
14	actividad
15	-
16	-
17	como
18	,
19	por
20	ejemplo
21	,
22	encender
23	el
24	televisor
25	-
26	-
27	fija
28	su
29	mirada
30	en
31	el
32	recuadro
33	donde
34	aparece
35	escrito
36	TV-IN
37	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	case
2	esta	DET	3	det
3	forma	NOUN	27	obl
4	,	PUNCT	3	punct
5	cuando	SCONJ	9	mark
6	el	DET	7	det
7	doctor	NOUN	9	nsubj
8	Meagher	PROPN	7	appos
9	quiere	VERB	27	advcl
10	llevar	VERB	9	xcomp
11	a	ADP	12	case
12	cabo	NOUN	10	compound
13	una	DET	14	det
14	actividad	NOUN	10	obj
15	-	PUNCT	22	punct
16	-	PUNCT	22	punct
17	como	SCONJ	22	mark
18	,	PUNCT	19	punct
19	por	ADP	22	advmod
20	ejemplo	NOUN	19	fixed
21	,	PUNCT	19	punct
22	encender	VERB	14	advcl
23	el	DET	24	det
24	televisor	NOUN	22	obj
25	-	PUNCT	22	punct
26	-	PUNCT	22	punct
27	fija	VERB	0	root
28	su	DET	29	det
29	mirada	NOUN	27	obj
30	en	ADP	32	case
31	el	DET	32	det
32	recuadro	NOUN	27	obl
33	donde	PRON	34	obl
34	aparece	VERB	32	acl
35	escrito	ADJ	34	obj
36	TV-IN	PROPN	34	nsubj
37	.	PUNCT	27	punct