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 estoy mal y los otros bien, de nada sirvió ",, no puedo luchar, por eso trato de estar bien para luchar contra ellos señaló.
Postion	Tokenization
1	Si
2	estoy
3	mal
4	y
5	los
6	otros
7	bien
8	,
9	de
10	nada
11	sirvió
12	"
13	,
14	,
15	no
16	puedo
17	luchar
18	,
19	por
20	eso
21	trato
22	de
23	estar
24	bien
25	para
26	luchar
27	contra
28	ellos
29	señaló
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	3	mark
2	estoy	AUX	3	cop
3	mal	ADV	11	advcl
4	y	CCONJ	7	cc
5	los	DET	6	det
6	otros	PRON	7	nsubj
7	bien	ADV	3	conj
8	,	PUNCT	3	punct
9	de	ADP	10	case
10	nada	PRON	11	obj
11	sirvió	VERB	29	ccomp
12	"	PUNCT	11	punct
13	,	PUNCT	17	punct
14	,	PUNCT	17	punct
15	no	ADV	17	advmod
16	puedo	AUX	17	aux
17	luchar	VERB	11	conj
18	,	PUNCT	17	punct
19	por	ADP	21	mark
20	eso	NOUN	19	fixed
21	trato	VERB	11	conj
22	de	ADP	24	case
23	estar	AUX	24	cop
24	bien	ADV	21	xcomp
25	para	ADP	26	mark
26	luchar	VERB	24	advcl
27	contra	ADP	28	case
28	ellos	PRON	26	obj
29	señaló	VERB	0	root
30	.	PUNCT	29	punct