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 recién ascendido Everton de Viña del Mar, en tanto, logró el segundo triunfo consecutivo al derrotar a Palestino por 1-0, con gol de Raúl Duarte a los 47 minutos.
Postion	Tokenization
1	El
2	recién
3	ascendido
4	Everton
5	de
6	Viña
7	del
8	Mar
9	,
10	en
11	tanto
12	,
13	logró
14	el
15	segundo
16	triunfo
17	consecutivo
18	al
19	derrotar
20	a
21	Palestino
22	por
23	1-0
24	,
25	con
26	gol
27	de
28	Raúl
29	Duarte
30	a
31	los
32	47
33	minutos
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	4	det
2	recién	ADV	3	advmod
3	ascendido	ADJ	4	amod
4	Everton	PROPN	13	nsubj
5	de	ADP	6	case
6	Viña	PROPN	4	flat
7	del	ADP	8	case
8	Mar	PROPN	4	flat
9	,	PUNCT	10	punct
10	en	ADP	13	advmod
11	tanto	NOUN	10	fixed
12	,	PUNCT	10	punct
13	logró	VERB	0	root
14	el	DET	16	det
15	segundo	ADJ	16	amod
16	triunfo	NOUN	13	obj
17	consecutivo	ADJ	16	amod
18	al	ADP	19	mark
19	derrotar	VERB	13	advcl
20	a	ADP	21	case
21	Palestino	PROPN	19	obj
22	por	ADP	23	case
23	1-0	NUM	19	obl
24	,	PUNCT	26	punct
25	con	ADP	26	case
26	gol	NOUN	19	obl
27	de	ADP	28	case
28	Raúl	PROPN	26	nmod
29	Duarte	PROPN	28	flat
30	a	ADP	33	case
31	los	DET	32	det
32	47	NUM	33	nummod
33	minutos	NOUN	26	nmod
34	.	PUNCT	13	punct