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:
El Universidad Católica, por su parte, venció al Audax Italiano por 3-2, con goles marcados por Rodolfo Moya (17`); Francisco Fernández (19`) y Mario Núñez (60`).
Postion	Tokenization
1	El
2	Universidad
3	Católica
4	,
5	por
6	su
7	parte
8	,
9	venció
10	al
11	Audax
12	Italiano
13	por
14	3-2
15	,
16	con
17	goles
18	marcados
19	por
20	Rodolfo
21	Moya
22	(
23	17`
24	)
25	;
26	Francisco
27	Fernández
28	(
29	19`
30	)
31	y
32	Mario
33	Núñez
34	(
35	60`
36	)
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Universidad	PROPN	9	nsubj
3	Católica	PROPN	2	flat
4	,	PUNCT	7	punct
5	por	ADP	7	case
6	su	DET	7	det
7	parte	NOUN	9	obl
8	,	PUNCT	7	punct
9	venció	VERB	0	root
10	al	ADP	11	case
11	Audax	PROPN	9	obj
12	Italiano	PROPN	11	flat
13	por	ADP	14	case
14	3-2	NUM	9	obl
15	,	PUNCT	17	punct
16	con	ADP	17	case
17	goles	NOUN	9	obl
18	marcados	ADJ	17	amod
19	por	ADP	20	case
20	Rodolfo	PROPN	18	obj
21	Moya	PROPN	20	flat
22	(	PUNCT	23	punct
23	17`	NUM	20	appos
24	)	PUNCT	23	punct
25	;	PUNCT	26	punct
26	Francisco	PROPN	20	conj
27	Fernández	PROPN	26	flat
28	(	PUNCT	29	punct
29	19`	NUM	26	appos
30	)	PUNCT	29	punct
31	y	CCONJ	32	cc
32	Mario	PROPN	20	conj
33	Núñez	PROPN	32	flat
34	(	PUNCT	35	punct
35	60`	NUM	32	appos
36	)	PUNCT	35	punct
37	.	PUNCT	9	punct