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 jugadores, que estaban concentrados en la ciudad brasileña de Foz do Iguazú, se trasladaron en autobús a Ciudad del Este, situada en el lado paraguayo de la frontera.
Postion	Tokenization
1	Los
2	jugadores
3	,
4	que
5	estaban
6	concentrados
7	en
8	la
9	ciudad
10	brasileña
11	de
12	Foz
13	do
14	Iguazú
15	,
16	se
17	trasladaron
18	en
19	autobús
20	a
21	Ciudad
22	del
23	Este
24	,
25	situada
26	en
27	el
28	lado
29	paraguayo
30	de
31	la
32	frontera
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	jugadores	NOUN	17	nsubj
3	,	PUNCT	6	punct
4	que	PRON	6	nsubj
5	estaban	AUX	6	cop
6	concentrados	ADJ	2	acl
7	en	ADP	9	case
8	la	DET	9	det
9	ciudad	NOUN	6	obl
10	brasileña	ADJ	9	amod
11	de	ADP	12	case
12	Foz	PROPN	9	nmod
13	do	ADP	14	case
14	Iguazú	PROPN	12	flat
15	,	PUNCT	6	punct
16	se	PRON	17	expl:pv
17	trasladaron	VERB	0	root
18	en	ADP	19	case
19	autobús	NOUN	17	obl
20	a	ADP	21	case
21	Ciudad	PROPN	17	obl
22	del	ADP	23	case
23	Este	PROPN	21	flat
24	,	PUNCT	25	punct
25	situada	ADJ	21	amod
26	en	ADP	28	case
27	el	DET	28	det
28	lado	NOUN	25	obl
29	paraguayo	ADJ	28	amod
30	de	ADP	32	case
31	la	DET	32	det
32	frontera	NOUN	28	nmod
33	.	PUNCT	17	punct