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:
Ortíz fue superior ante un Herrera, que apenas subió al cuadrilátero, comenzó a recibir golpes que liquidaron tempranamente el combate a favor del local.
Postion	Tokenization
1	Ortíz
2	fue
3	superior
4	ante
5	un
6	Herrera
7	,
8	que
9	apenas
10	subió
11	al
12	cuadrilátero
13	,
14	comenzó
15	a
16	recibir
17	golpes
18	que
19	liquidaron
20	tempranamente
21	el
22	combate
23	a
24	favor
25	del
26	local
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ortíz	PROPN	3	nsubj
2	fue	AUX	3	cop
3	superior	ADJ	0	root
4	ante	ADP	6	case
5	un	DET	6	det
6	Herrera	PROPN	3	nmod
7	,	PUNCT	14	punct
8	que	PRON	14	nsubj
9	apenas	ADV	10	advmod
10	subió	VERB	16	advcl
11	al	ADP	12	case
12	cuadrilátero	NOUN	10	obl
13	,	PUNCT	10	punct
14	comenzó	VERB	6	acl
15	a	ADP	16	mark
16	recibir	VERB	14	xcomp
17	golpes	NOUN	16	obj
18	que	PRON	19	nsubj
19	liquidaron	VERB	17	acl
20	tempranamente	ADV	19	advmod
21	el	DET	22	det
22	combate	NOUN	19	obj
23	a	ADP	26	case
24	favor	NOUN	23	fixed
25	del	ADP	23	fixed
26	local	ADJ	19	advmod
27	.	PUNCT	3	punct