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:
Alonso, que llegó a Valencia la pasada semana procedente de Uruguay, donde estaba concentrado con su selección, explicó que Cúper ha dado a los jugadores "un toque de atención sobre las características del rival, que saldrá muy motivado", indicó.
Postion	Tokenization
1	Alonso
2	,
3	que
4	llegó
5	a
6	Valencia
7	la
8	pasada
9	semana
10	procedente
11	de
12	Uruguay
13	,
14	donde
15	estaba
16	concentrado
17	con
18	su
19	selección
20	,
21	explicó
22	que
23	Cúper
24	ha
25	dado
26	a
27	los
28	jugadores
29	"
30	un
31	toque
32	de
33	atención
34	sobre
35	las
36	características
37	del
38	rival
39	,
40	que
41	saldrá
42	muy
43	motivado
44	"
45	,
46	indicó
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Alonso	PROPN	21	nsubj
2	,	PUNCT	4	punct
3	que	PRON	4	nsubj
4	llegó	VERB	1	acl
5	a	ADP	6	case
6	Valencia	PROPN	4	obl
7	la	DET	9	det
8	pasada	ADJ	9	amod
9	semana	NOUN	4	obl
10	procedente	ADJ	4	obj
11	de	ADP	12	case
12	Uruguay	PROPN	10	nmod
13	,	PUNCT	16	punct
14	donde	PRON	16	obl
15	estaba	AUX	16	cop
16	concentrado	ADJ	12	acl
17	con	ADP	19	case
18	su	DET	19	det
19	selección	NOUN	16	obl
20	,	PUNCT	4	punct
21	explicó	VERB	46	ccomp
22	que	SCONJ	25	mark
23	Cúper	PROPN	25	nsubj
24	ha	AUX	25	aux
25	dado	VERB	21	ccomp
26	a	ADP	28	case
27	los	DET	28	det
28	jugadores	NOUN	25	obj
29	"	PUNCT	31	punct
30	un	DET	31	det
31	toque	NOUN	25	obj
32	de	ADP	33	case
33	atención	NOUN	31	nmod
34	sobre	ADP	36	case
35	las	DET	36	det
36	características	NOUN	31	nmod
37	del	ADP	38	case
38	rival	NOUN	36	nmod
39	,	PUNCT	41	punct
40	que	PRON	41	nsubj
41	saldrá	VERB	38	acl
42	muy	ADV	43	advmod
43	motivado	ADJ	41	obj
44	"	PUNCT	31	punct
45	,	PUNCT	21	punct
46	indicó	VERB	0	root
47	.	PUNCT	46	punct