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:
"Seguramente mucha gente del Oviedo estará resentida por esto, pero muchos otros, que realmente están allegados al club, sabrán por qué no he fichado con el Oviedo", subrayó Dely Valdés, hermano gemelo de Jorge, que juega en el Rapids Colorado de Estados Unidos.
Postion	Tokenization
1	"
2	Seguramente
3	mucha
4	gente
5	del
6	Oviedo
7	estará
8	resentida
9	por
10	esto
11	,
12	pero
13	muchos
14	otros
15	,
16	que
17	realmente
18	están
19	allegados
20	al
21	club
22	,
23	sabrán
24	por
25	qué
26	no
27	he
28	fichado
29	con
30	el
31	Oviedo
32	"
33	,
34	subrayó
35	Dely
36	Valdés
37	,
38	hermano
39	gemelo
40	de
41	Jorge
42	,
43	que
44	juega
45	en
46	el
47	Rapids
48	Colorado
49	de
50	Estados
51	Unidos
52	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	Seguramente	ADV	8	advmod
3	mucha	DET	4	det
4	gente	NOUN	8	nsubj
5	del	ADP	6	case
6	Oviedo	PROPN	4	nmod
7	estará	AUX	8	cop
8	resentida	ADJ	34	ccomp
9	por	ADP	10	case
10	esto	PRON	8	obl
11	,	PUNCT	23	punct
12	pero	CCONJ	23	cc
13	muchos	DET	14	det
14	otros	PRON	23	nsubj
15	,	PUNCT	19	punct
16	que	PRON	19	nsubj
17	realmente	ADV	19	advmod
18	están	AUX	19	cop
19	allegados	ADJ	14	acl
20	al	ADP	21	case
21	club	NOUN	19	obj
22	,	PUNCT	19	punct
23	sabrán	VERB	8	conj
24	por	ADP	25	case
25	qué	PRON	28	obl
26	no	ADV	28	advmod
27	he	AUX	28	aux
28	fichado	VERB	23	ccomp
29	con	ADP	31	case
30	el	DET	31	det
31	Oviedo	PROPN	28	obl
32	"	PUNCT	8	punct
33	,	PUNCT	8	punct
34	subrayó	VERB	0	root
35	Dely	PROPN	34	nsubj
36	Valdés	PROPN	35	flat
37	,	PUNCT	38	punct
38	hermano	NOUN	35	appos
39	gemelo	ADJ	38	amod
40	de	ADP	41	case
41	Jorge	PROPN	38	nmod
42	,	PUNCT	38	punct
43	que	PRON	44	nsubj
44	juega	VERB	35	acl
45	en	ADP	47	case
46	el	DET	47	det
47	Rapids	PROPN	44	obl
48	Colorado	PROPN	47	flat
49	de	ADP	50	case
50	Estados	PROPN	47	nmod
51	Unidos	PROPN	50	flat
52	.	PUNCT	34	punct