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 Primera corrida de la temporada en la Monumental encerró cuatro reses de Ángel Sánchez, de Salamanca, y dos, Primera y tercera, de Román Sorando, de Jaén.
Postion	Tokenization
1	La
2	Primera
3	corrida
4	de
5	la
6	temporada
7	en
8	la
9	Monumental
10	encerró
11	cuatro
12	reses
13	de
14	Ángel
15	Sánchez
16	,
17	de
18	Salamanca
19	,
20	y
21	dos
22	,
23	Primera
24	y
25	tercera
26	,
27	de
28	Román
29	Sorando
30	,
31	de
32	Jaén
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	Primera	ADJ	3	amod
3	corrida	NOUN	10	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	temporada	NOUN	3	nmod
7	en	ADP	9	case
8	la	DET	9	det
9	Monumental	PROPN	3	nmod
10	encerró	VERB	0	root
11	cuatro	NUM	12	nummod
12	reses	NOUN	10	obj
13	de	ADP	14	case
14	Ángel	PROPN	12	nmod
15	Sánchez	PROPN	14	flat
16	,	PUNCT	18	punct
17	de	ADP	18	case
18	Salamanca	PROPN	12	nmod
19	,	PUNCT	18	punct
20	y	CCONJ	21	cc
21	dos	NUM	12	conj
22	,	PUNCT	23	punct
23	Primera	ADJ	21	amod
24	y	CCONJ	25	cc
25	tercera	ADJ	23	conj
26	,	PUNCT	23	punct
27	de	ADP	28	case
28	Román	PROPN	21	nmod
29	Sorando	PROPN	28	flat
30	,	PUNCT	32	punct
31	de	ADP	32	case
32	Jaén	PROPN	21	nmod
33	.	PUNCT	10	punct