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 no ganamos, está claro que no podremos optar a la liga, mientras que si lo hacemos estaremos muy arriba y lucharemos por todo", comentó Bjorklund.
Postion	Tokenization
1	"
2	Si
3	no
4	ganamos
5	,
6	está
7	claro
8	que
9	no
10	podremos
11	optar
12	a
13	la
14	liga
15	,
16	mientras
17	que
18	si
19	lo
20	hacemos
21	estaremos
22	muy
23	arriba
24	y
25	lucharemos
26	por
27	todo
28	"
29	,
30	comentó
31	Bjorklund
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	Si	SCONJ	4	mark
3	no	ADV	4	advmod
4	ganamos	VERB	7	advcl
5	,	PUNCT	4	punct
6	está	AUX	7	cop
7	claro	ADJ	30	ccomp
8	que	SCONJ	11	mark
9	no	ADV	11	advmod
10	podremos	AUX	11	aux
11	optar	VERB	7	csubj
12	a	ADP	14	case
13	la	DET	14	det
14	liga	NOUN	11	obj
15	,	PUNCT	7	punct
16	mientras	CCONJ	7	mark
17	que	SCONJ	16	fixed
18	si	SCONJ	20	mark
19	lo	PRON	20	obj
20	hacemos	VERB	21	advcl
21	estaremos	VERB	7	advcl
22	muy	ADV	23	advmod
23	arriba	ADV	21	advmod
24	y	CCONJ	25	cc
25	lucharemos	VERB	21	conj
26	por	ADP	27	case
27	todo	PRON	25	obj
28	"	PUNCT	7	punct
29	,	PUNCT	7	punct
30	comentó	VERB	0	root
31	Bjorklund	PROPN	30	nsubj
32	.	PUNCT	30	punct