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:
Otra de las goleadas de esta segunda fecha del fútbol chileno la consiguió el Colo Colo, que encajó al Puerto Montt 5-2.
Postion	Tokenization
1	Otra
2	de
3	las
4	goleadas
5	de
6	esta
7	segunda
8	fecha
9	del
10	fútbol
11	chileno
12	la
13	consiguió
14	el
15	Colo
16	Colo
17	,
18	que
19	encajó
20	al
21	Puerto
22	Montt
23	5-2
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Otra	PRON	13	iobj
2	de	ADP	4	case
3	las	DET	4	det
4	goleadas	NOUN	1	nmod
5	de	ADP	8	case
6	esta	DET	8	det
7	segunda	ADJ	8	amod
8	fecha	NOUN	4	nmod
9	del	ADP	10	case
10	fútbol	NOUN	4	nmod
11	chileno	ADJ	10	amod
12	la	PRON	13	obj
13	consiguió	VERB	0	root
14	el	DET	15	det
15	Colo	PROPN	13	nsubj
16	Colo	PROPN	15	flat
17	,	PUNCT	19	punct
18	que	PRON	19	nsubj
19	encajó	VERB	15	acl
20	al	ADP	21	case
21	Puerto	PROPN	19	obj
22	Montt	PROPN	21	flat
23	5-2	NUM	19	obj
24	.	PUNCT	13	punct