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:
Los tantos del Puerto Montt lo consiguieron Juan Quiroga y Rodrigo Viligrón, a los 69 y 91 minutos, respectivamente, de este encuentro que se disputó en el estadio Monumental David Arellano.
Postion	Tokenization
1	Los
2	tantos
3	del
4	Puerto
5	Montt
6	lo
7	consiguieron
8	Juan
9	Quiroga
10	y
11	Rodrigo
12	Viligrón
13	,
14	a
15	los
16	69
17	y
18	91
19	minutos
20	,
21	respectivamente
22	,
23	de
24	este
25	encuentro
26	que
27	se
28	disputó
29	en
30	el
31	estadio
32	Monumental
33	David
34	Arellano
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	tantos	NOUN	7	iobj
3	del	ADP	4	case
4	Puerto	PROPN	2	nmod
5	Montt	PROPN	4	flat
6	lo	PRON	7	obj
7	consiguieron	VERB	0	root
8	Juan	PROPN	7	nsubj
9	Quiroga	PROPN	8	flat
10	y	CCONJ	11	cc
11	Rodrigo	PROPN	8	conj
12	Viligrón	PROPN	11	flat
13	,	PUNCT	16	punct
14	a	ADP	16	case
15	los	DET	16	det
16	69	NUM	7	obl
17	y	CCONJ	19	cc
18	91	NUM	19	nummod
19	minutos	NOUN	16	conj
20	,	PUNCT	21	punct
21	respectivamente	ADV	16	advmod
22	,	PUNCT	21	punct
23	de	ADP	25	case
24	este	DET	25	det
25	encuentro	NOUN	16	nmod
26	que	PRON	28	nsubj
27	se	PRON	28	expl:pass
28	disputó	VERB	25	acl
29	en	ADP	31	case
30	el	DET	31	det
31	estadio	NOUN	28	obl
32	Monumental	PROPN	31	appos
33	David	PROPN	32	flat
34	Arellano	PROPN	32	flat
35	.	PUNCT	7	punct