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:
"Es normal que los jugadores reclamen una parcela de superioridad", ha añadido Serra Ferrer, en alusión a unas declaraciones del barcelonista Alfonso Pérez, quien ha asegurado que si el Barcelona funciona, no hay quien lo pare.
Postion	Tokenization
1	"
2	Es
3	normal
4	que
5	los
6	jugadores
7	reclamen
8	una
9	parcela
10	de
11	superioridad
12	"
13	,
14	ha
15	añadido
16	Serra
17	Ferrer
18	,
19	en
20	alusión
21	a
22	unas
23	declaraciones
24	del
25	barcelonista
26	Alfonso
27	Pérez
28	,
29	quien
30	ha
31	asegurado
32	que
33	si
34	el
35	Barcelona
36	funciona
37	,
38	no
39	hay
40	quien
41	lo
42	pare
43	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Es	AUX	3	cop
3	normal	ADJ	15	ccomp
4	que	SCONJ	7	mark
5	los	DET	6	det
6	jugadores	NOUN	7	nsubj
7	reclamen	VERB	3	csubj
8	una	DET	9	det
9	parcela	NOUN	7	obj
10	de	ADP	11	case
11	superioridad	NOUN	9	nmod
12	"	PUNCT	3	punct
13	,	PUNCT	3	punct
14	ha	AUX	15	aux
15	añadido	VERB	0	root
16	Serra	PROPN	15	nsubj
17	Ferrer	PROPN	16	flat
18	,	PUNCT	20	punct
19	en	ADP	20	case
20	alusión	NOUN	15	obl
21	a	ADP	23	case
22	unas	DET	23	det
23	declaraciones	NOUN	20	nmod
24	del	ADP	26	case
25	barcelonista	ADJ	26	amod
26	Alfonso	PROPN	23	nmod
27	Pérez	PROPN	26	flat
28	,	PUNCT	31	punct
29	quien	PRON	31	nsubj
30	ha	AUX	31	aux
31	asegurado	VERB	26	acl
32	que	SCONJ	39	mark
33	si	SCONJ	36	mark
34	el	DET	35	det
35	Barcelona	PROPN	36	nsubj
36	funciona	VERB	39	advcl
37	,	PUNCT	36	punct
38	no	ADV	39	advmod
39	hay	AUX	31	ccomp
40	quien	PRON	42	nsubj
41	lo	PRON	42	obj
42	pare	VERB	39	ccomp
43	.	PUNCT	15	punct