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:
Al menos, este show no lo presenta el insumergible Ramón García, que ahora está entretenido con sus vaquillas en Grand Prix (TVE-1).
Postion	Tokenization
1	Al
2	menos
3	,
4	este
5	show
6	no
7	lo
8	presenta
9	el
10	insumergible
11	Ramón
12	García
13	,
14	que
15	ahora
16	está
17	entretenido
18	con
19	sus
20	vaquillas
21	en
22	Grand
23	Prix
24	(
25	TVE-1
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	8	advmod
2	menos	ADV	1	fixed
3	,	PUNCT	1	punct
4	este	DET	5	det
5	show	NOUN	8	iobj
6	no	ADV	8	advmod
7	lo	PRON	8	obj
8	presenta	VERB	0	root
9	el	DET	17	det
10	insumergible	ADJ	17	amod
11	Ramón	PROPN	17	obj
12	García	PROPN	11	flat
13	,	PUNCT	17	punct
14	que	PRON	17	nsubj
15	ahora	ADV	17	advmod
16	está	AUX	17	cop
17	entretenido	ADJ	8	csubj
18	con	ADP	20	case
19	sus	DET	20	det
20	vaquillas	NOUN	17	obl
21	en	ADP	22	case
22	Grand	PROPN	17	obl
23	Prix	PROPN	22	flat
24	(	PUNCT	25	punct
25	TVE-1	PROPN	22	flat
26	)	PUNCT	25	punct
27	.	PUNCT	8	punct