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:
El delantero cree que sería recibido como un héroe en Sevilla y se mostró comprensivo con el seleccionador de su país si no le convoca para los próximos partidos.
Postion	Tokenization
1	El
2	delantero
3	cree
4	que
5	sería
6	recibido
7	como
8	un
9	héroe
10	en
11	Sevilla
12	y
13	se
14	mostró
15	comprensivo
16	con
17	el
18	seleccionador
19	de
20	su
21	país
22	si
23	no
24	le
25	convoca
26	para
27	los
28	próximos
29	partidos
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	delantero	NOUN	3	nsubj
3	cree	VERB	0	root
4	que	SCONJ	6	mark
5	sería	AUX	6	aux
6	recibido	VERB	3	ccomp
7	como	SCONJ	9	mark
8	un	DET	9	det
9	héroe	NOUN	6	obj
10	en	ADP	11	case
11	Sevilla	PROPN	6	obl
12	y	CCONJ	14	cc
13	se	PRON	14	expl:pv
14	mostró	VERB	3	conj
15	comprensivo	ADJ	14	obj
16	con	ADP	18	case
17	el	DET	18	det
18	seleccionador	NOUN	15	nmod
19	de	ADP	21	case
20	su	DET	21	det
21	país	NOUN	18	nmod
22	si	SCONJ	25	mark
23	no	ADV	25	advmod
24	le	PRON	25	obj
25	convoca	VERB	14	advcl
26	para	ADP	29	case
27	los	DET	29	det
28	próximos	ADJ	29	amod
29	partidos	NOUN	25	obl
30	.	PUNCT	3	punct