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:
Si a esos reveses se le añade la derrota por 3-1 en Londres ante el Chelsea, el Barcelona ha encajado doce goles en diez días y sólo ha marcado uno.
Postion	Tokenization
1	Si
2	a
3	esos
4	reveses
5	se
6	le
7	añade
8	la
9	derrota
10	por
11	3-1
12	en
13	Londres
14	ante
15	el
16	Chelsea
17	,
18	el
19	Barcelona
20	ha
21	encajado
22	doce
23	goles
24	en
25	diez
26	días
27	y
28	sólo
29	ha
30	marcado
31	uno
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	7	mark
2	a	ADP	4	case
3	esos	DET	4	det
4	reveses	NOUN	7	obj
5	se	PRON	7	expl:pass
6	le	PRON	7	obj
7	añade	VERB	0	root
8	la	DET	9	det
9	derrota	NOUN	7	nsubj
10	por	ADP	11	case
11	3-1	NUM	9	nummod
12	en	ADP	13	case
13	Londres	PROPN	9	nmod
14	ante	ADP	16	case
15	el	DET	16	det
16	Chelsea	PROPN	9	nmod
17	,	PUNCT	7	punct
18	el	DET	19	det
19	Barcelona	PROPN	21	nsubj
20	ha	AUX	21	aux
21	encajado	VERB	7	advcl
22	doce	NUM	23	nummod
23	goles	NOUN	21	obj
24	en	ADP	26	case
25	diez	NUM	26	nummod
26	días	NOUN	21	obl
27	y	CCONJ	21	cc
28	sólo	ADV	30	advmod
29	ha	AUX	30	aux
30	marcado	VERB	7	advcl
31	uno	PRON	30	obj
32	.	PUNCT	7	punct