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 3-0 de ayer, que además ponía fin a una racha de 14 partidos sin ganar del Atlético, supuso una "revancha" para Toni, suplente en la Liga a la sombra de José Francisco Molina.
Postion	Tokenization
1	El
2	3-0
3	de
4	ayer
5	,
6	que
7	además
8	ponía
9	fin
10	a
11	una
12	racha
13	de
14	14
15	partidos
16	sin
17	ganar
18	del
19	Atlético
20	,
21	supuso
22	una
23	"
24	revancha
25	"
26	para
27	Toni
28	,
29	suplente
30	en
31	la
32	Liga
33	a
34	la
35	sombra
36	de
37	José
38	Francisco
39	Molina
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	3-0	NUM	21	nsubj
3	de	ADP	4	case
4	ayer	ADV	2	advmod
5	,	PUNCT	8	punct
6	que	PRON	8	nsubj
7	además	ADV	8	advmod
8	ponía	VERB	2	advcl
9	fin	NOUN	8	compound
10	a	ADP	12	case
11	una	DET	12	det
12	racha	NOUN	8	obj
13	de	ADP	15	case
14	14	NUM	15	nummod
15	partidos	NOUN	12	nmod
16	sin	ADP	17	mark
17	ganar	VERB	15	acl
18	del	ADP	19	case
19	Atlético	PROPN	12	nmod
20	,	PUNCT	8	punct
21	supuso	VERB	0	root
22	una	DET	24	det
23	"	PUNCT	24	punct
24	revancha	NOUN	21	obj
25	"	PUNCT	24	punct
26	para	ADP	27	case
27	Toni	PROPN	21	obl
28	,	PUNCT	29	punct
29	suplente	NOUN	27	appos
30	en	ADP	32	case
31	la	DET	32	det
32	Liga	PROPN	29	nmod
33	a	ADP	35	case
34	la	DET	35	det
35	sombra	NOUN	29	nmod
36	de	ADP	37	case
37	José	PROPN	35	nmod
38	Francisco	PROPN	37	flat
39	Molina	PROPN	37	flat
40	.	PUNCT	21	punct