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:
"No podemos ocultar la realidad de que Argentina es la mejor, lo ha demostrado en todas las canchas a las que ha ido, ganando todos los partidos, pero no por eso quiere decir que sea invencible", dijo por su lado, Alex Aguinaga a los periodistas deportivos.
Postion	Tokenization
1	"
2	No
3	podemos
4	ocultar
5	la
6	realidad
7	de
8	que
9	Argentina
10	es
11	la
12	mejor
13	,
14	lo
15	ha
16	demostrado
17	en
18	todas
19	las
20	canchas
21	a
22	las
23	que
24	ha
25	ido
26	,
27	ganando
28	todos
29	los
30	partidos
31	,
32	pero
33	no
34	por
35	eso
36	quiere
37	decir
38	que
39	sea
40	invencible
41	"
42	,
43	dijo
44	por
45	su
46	lado
47	,
48	Alex
49	Aguinaga
50	a
51	los
52	periodistas
53	deportivos
54	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	No	ADV	4	advmod
3	podemos	AUX	4	aux
4	ocultar	VERB	43	xcomp
5	la	DET	6	det
6	realidad	NOUN	4	obj
7	de	ADP	12	mark
8	que	SCONJ	12	mark
9	Argentina	PROPN	12	nsubj
10	es	AUX	12	cop
11	la	DET	12	det
12	mejor	ADJ	6	acl
13	,	PUNCT	16	punct
14	lo	PRON	16	obj
15	ha	AUX	16	aux
16	demostrado	VERB	4	advcl
17	en	ADP	20	case
18	todas	DET	19	det
19	las	DET	20	det
20	canchas	NOUN	16	obl
21	a	ADP	23	case
22	las	DET	23	det
23	que	PRON	25	obl
24	ha	AUX	25	aux
25	ido	VERB	20	acl
26	,	PUNCT	27	punct
27	ganando	VERB	16	advcl
28	todos	DET	29	det
29	los	DET	30	det
30	partidos	NOUN	27	obj
31	,	PUNCT	27	punct
32	pero	CCONJ	36	cc
33	no	ADV	36	advmod
34	por	ADP	35	case
35	eso	PRON	36	obl
36	quiere	VERB	4	conj
37	decir	NOUN	36	compound
38	que	SCONJ	40	mark
39	sea	AUX	40	cop
40	invencible	ADJ	36	ccomp
41	"	PUNCT	4	punct
42	,	PUNCT	4	punct
43	dijo	VERB	0	root
44	por	ADP	46	case
45	su	DET	46	det
46	lado	NOUN	43	obl
47	,	PUNCT	46	punct
48	Alex	PROPN	43	nsubj
49	Aguinaga	PROPN	48	flat
50	a	ADP	52	case
51	los	DET	52	det
52	periodistas	NOUN	43	iobj
53	deportivos	ADJ	52	amod
54	.	PUNCT	43	punct