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:
Mañana se disputará en este mismo circuito la prueba masculina de esta disciplina, en la que se darán dos vueltas más que las dadas hoy por Fullana y sus rivales.
Postion	Tokenization
1	Mañana
2	se
3	disputará
4	en
5	este
6	mismo
7	circuito
8	la
9	prueba
10	masculina
11	de
12	esta
13	disciplina
14	,
15	en
16	la
17	que
18	se
19	darán
20	dos
21	vueltas
22	más
23	que
24	las
25	dadas
26	hoy
27	por
28	Fullana
29	y
30	sus
31	rivales
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Mañana	ADV	3	advmod
2	se	PRON	3	expl:pass
3	disputará	VERB	0	root
4	en	ADP	7	case
5	este	DET	7	det
6	mismo	DET	5	det
7	circuito	NOUN	3	obl
8	la	DET	9	det
9	prueba	NOUN	3	nsubj
10	masculina	ADJ	9	amod
11	de	ADP	13	case
12	esta	DET	13	det
13	disciplina	NOUN	9	nmod
14	,	PUNCT	19	punct
15	en	ADP	17	case
16	la	DET	17	det
17	que	PRON	19	obl
18	se	PRON	19	expl:pass
19	darán	VERB	9	acl
20	dos	NUM	21	nummod
21	vueltas	NOUN	19	nsubj
22	más	ADV	21	advmod
23	que	SCONJ	25	mark
24	las	DET	25	det
25	dadas	ADJ	21	amod
26	hoy	ADV	25	advmod
27	por	ADP	28	case
28	Fullana	PROPN	25	obj
29	y	CCONJ	31	cc
30	sus	DET	31	det
31	rivales	NOUN	28	conj
32	.	PUNCT	3	punct