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:
Y no sólo cayó el Celta, tanto en la Liga como en la Copa, sino que el Madrid fue goleado y el Mallorca, eliminado de la Copa.
Postion	Tokenization
1	Y
2	no
3	sólo
4	cayó
5	el
6	Celta
7	,
8	tanto
9	en
10	la
11	Liga
12	como
13	en
14	la
15	Copa
16	,
17	sino
18	que
19	el
20	Madrid
21	fue
22	goleado
23	y
24	el
25	Mallorca
26	,
27	eliminado
28	de
29	la
30	Copa
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	17	parataxis
2	no	PART	17	cc
3	sólo	ADV	2	fixed
4	cayó	VERB	17	parataxis
5	el	DET	6	det
6	Celta	PROPN	4	nsubj
7	,	PUNCT	11	punct
8	tanto	ADV	11	cc
9	en	ADP	11	case
10	la	DET	11	det
11	Liga	PROPN	4	obl
12	como	SCONJ	15	cc
13	en	ADP	15	case
14	la	DET	15	det
15	Copa	PROPN	11	conj
16	,	PUNCT	11	punct
17	sino	CCONJ	0	root
18	que	SCONJ	17	fixed
19	el	DET	20	det
20	Madrid	PROPN	22	nsubj
21	fue	AUX	22	aux
22	goleado	VERB	17	parataxis
23	y	CCONJ	27	cc
24	el	DET	25	det
25	Mallorca	PROPN	27	obj
26	,	PUNCT	25	punct
27	eliminado	VERB	22	conj
28	de	ADP	30	case
29	la	DET	30	det
30	Copa	PROPN	27	obj
31	.	PUNCT	17	punct