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 reconozco que el destino ha sido en este sentido generoso conmigo, porque a mi carácter le viene bien esta posibilidad de cambio.
Postion	Tokenization
1	Y
2	reconozco
3	que
4	el
5	destino
6	ha
7	sido
8	en
9	este
10	sentido
11	generoso
12	conmigo
13	,
14	porque
15	a
16	mi
17	carácter
18	le
19	viene
20	bien
21	esta
22	posibilidad
23	de
24	cambio
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	2	advmod
2	reconozco	VERB	0	root
3	que	SCONJ	11	mark
4	el	DET	5	det
5	destino	NOUN	11	nsubj
6	ha	AUX	11	aux
7	sido	AUX	11	cop
8	en	ADP	10	case
9	este	DET	10	det
10	sentido	NOUN	11	obl
11	generoso	ADJ	2	ccomp
12	conmigo	PRON	11	nmod
13	,	PUNCT	19	punct
14	porque	SCONJ	19	mark
15	a	ADP	17	case
16	mi	DET	17	det
17	carácter	NOUN	19	obj
18	le	PRON	19	obj
19	viene	VERB	11	advcl
20	bien	ADV	19	advmod
21	esta	DET	22	det
22	posibilidad	NOUN	19	nsubj
23	de	ADP	24	case
24	cambio	NOUN	22	nmod
25	.	PUNCT	2	punct