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 F-1, ese circo capaz de fascinar a millones de telespectadores y aficionados de todo el mundo, sólo tiene un fin: el dinero, los dólares, el negocio.
Postion	Tokenization
1	La
2	F-1
3	,
4	ese
5	circo
6	capaz
7	de
8	fascinar
9	a
10	millones
11	de
12	telespectadores
13	y
14	aficionados
15	de
16	todo
17	el
18	mundo
19	,
20	sólo
21	tiene
22	un
23	fin
24	:
25	el
26	dinero
27	,
28	los
29	dólares
30	,
31	el
32	negocio
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	F-1	PROPN	21	nsubj
3	,	PUNCT	5	punct
4	ese	DET	5	det
5	circo	NOUN	2	appos
6	capaz	ADJ	5	amod
7	de	ADP	8	mark
8	fascinar	VERB	6	acl
9	a	ADP	10	case
10	millones	NOUN	8	obj
11	de	ADP	12	case
12	telespectadores	NOUN	10	nmod
13	y	CCONJ	14	cc
14	aficionados	NOUN	12	conj
15	de	ADP	18	case
16	todo	DET	17	det
17	el	DET	18	det
18	mundo	NOUN	12	nmod
19	,	PUNCT	5	punct
20	sólo	ADV	21	advmod
21	tiene	VERB	0	root
22	un	DET	23	det
23	fin	NOUN	21	obj
24	:	PUNCT	26	punct
25	el	DET	26	det
26	dinero	NOUN	23	appos
27	,	PUNCT	26	punct
28	los	DET	29	det
29	dólares	NOUN	26	appos
30	,	PUNCT	26	punct
31	el	DET	32	det
32	negocio	NOUN	26	appos
33	.	PUNCT	21	punct