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:
En el programa, Mina rió con frecuencia, bromeó con músicos y directores, observó los monitores y sólo al final se dirigió a la cámara para saludar al público con la mano.
Postion	Tokenization
1	En
2	el
3	programa
4	,
5	Mina
6	rió
7	con
8	frecuencia
9	,
10	bromeó
11	con
12	músicos
13	y
14	directores
15	,
16	observó
17	los
18	monitores
19	y
20	sólo
21	al
22	final
23	se
24	dirigió
25	a
26	la
27	cámara
28	para
29	saludar
30	al
31	público
32	con
33	la
34	mano
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	programa	NOUN	6	obl
4	,	PUNCT	3	punct
5	Mina	PROPN	6	nsubj
6	rió	VERB	0	root
7	con	ADP	8	case
8	frecuencia	NOUN	6	obl
9	,	PUNCT	10	punct
10	bromeó	VERB	6	advcl
11	con	ADP	12	case
12	músicos	NOUN	10	obl
13	y	CCONJ	14	cc
14	directores	NOUN	12	conj
15	,	PUNCT	16	punct
16	observó	VERB	6	advcl
17	los	DET	18	det
18	monitores	NOUN	16	obj
19	y	CCONJ	24	cc
20	sólo	ADV	21	advmod
21	al	ADP	24	advmod
22	final	NOUN	21	fixed
23	se	PRON	24	expl:pv
24	dirigió	VERB	6	conj
25	a	ADP	27	case
26	la	DET	27	det
27	cámara	NOUN	24	obl
28	para	ADP	29	mark
29	saludar	VERB	24	advcl
30	al	ADP	31	case
31	público	NOUN	29	obj
32	con	ADP	34	case
33	la	DET	34	det
34	mano	NOUN	29	obl
35	.	PUNCT	6	punct