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 Nàstic, que marcó por medio de Castillejo (2), Prieto y Herrero, suma 7 puntos, por 4 del Amurrio y uno de Zamora y Cádiz.
Postion	Tokenization
1	El
2	Nàstic
3	,
4	que
5	marcó
6	por
7	medio
8	de
9	Castillejo
10	(
11	2
12	)
13	,
14	Prieto
15	y
16	Herrero
17	,
18	suma
19	7
20	puntos
21	,
22	por
23	4
24	del
25	Amurrio
26	y
27	uno
28	de
29	Zamora
30	y
31	Cádiz
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Nàstic	PROPN	18	nsubj
3	,	PUNCT	5	punct
4	que	PRON	5	nsubj
5	marcó	VERB	2	acl
6	por	ADP	9	case
7	medio	NOUN	6	fixed
8	de	ADP	6	fixed
9	Castillejo	PROPN	5	obl
10	(	PUNCT	11	punct
11	2	NUM	9	appos
12	)	PUNCT	11	punct
13	,	PUNCT	14	punct
14	Prieto	PROPN	9	conj
15	y	CCONJ	16	cc
16	Herrero	PROPN	9	conj
17	,	PUNCT	5	punct
18	suma	VERB	0	root
19	7	NUM	20	nummod
20	puntos	NOUN	18	obj
21	,	PUNCT	23	punct
22	por	ADP	23	case
23	4	NUM	18	obl
24	del	ADP	25	case
25	Amurrio	PROPN	23	nmod
26	y	CCONJ	27	cc
27	uno	PRON	23	conj
28	de	ADP	29	case
29	Zamora	PROPN	27	nmod
30	y	CCONJ	31	cc
31	Cádiz	PROPN	29	conj
32	.	PUNCT	18	punct