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:
Por primera vez en este torneo, ambos equipos tuvieron una hinchada a la que saludar al saltar a la cancha, gracias a unos 20.000 corinthianos que salieron desde Sao Paulo para "invadir" la ciudad maravillosa.
Postion	Tokenization
1	Por
2	primera
3	vez
4	en
5	este
6	torneo
7	,
8	ambos
9	equipos
10	tuvieron
11	una
12	hinchada
13	a
14	la
15	que
16	saludar
17	al
18	saltar
19	a
20	la
21	cancha
22	,
23	gracias
24	a
25	unos
26	20.000
27	corinthianos
28	que
29	salieron
30	desde
31	Sao
32	Paulo
33	para
34	"
35	invadir
36	"
37	la
38	ciudad
39	maravillosa
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	primera	ADJ	3	amod
3	vez	NOUN	10	obl
4	en	ADP	6	case
5	este	DET	6	det
6	torneo	NOUN	3	nmod
7	,	PUNCT	3	punct
8	ambos	NUM	9	nummod
9	equipos	NOUN	10	nsubj
10	tuvieron	VERB	0	root
11	una	DET	12	det
12	hinchada	NOUN	10	obj
13	a	ADP	15	case
14	la	DET	15	det
15	que	PRON	16	obj
16	saludar	VERB	12	acl
17	al	ADP	18	mark
18	saltar	VERB	16	advcl
19	a	ADP	21	case
20	la	DET	21	det
21	cancha	NOUN	18	obl
22	,	PUNCT	27	punct
23	gracias	NOUN	27	case
24	a	ADP	23	fixed
25	unos	PRON	26	nmod
26	20.000	NUM	27	nummod
27	corinthianos	NOUN	10	obl
28	que	PRON	29	nsubj
29	salieron	VERB	27	acl
30	desde	ADP	31	case
31	Sao	PROPN	29	obl
32	Paulo	PROPN	31	flat
33	para	ADP	35	mark
34	"	PUNCT	35	punct
35	invadir	VERB	29	advcl
36	"	PUNCT	35	punct
37	la	DET	38	det
38	ciudad	NOUN	35	obj
39	maravillosa	ADJ	38	amod
40	.	PUNCT	10	punct