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:
"Soy optimista y me encuentro con más ganas que nunca, a pesar de los problemas que he tenido a causa de las dolencias en la rodilla y en el tobillo.
Postion	Tokenization
1	"
2	Soy
3	optimista
4	y
5	me
6	encuentro
7	con
8	más
9	ganas
10	que
11	nunca
12	,
13	a
14	pesar
15	de
16	los
17	problemas
18	que
19	he
20	tenido
21	a
22	causa
23	de
24	las
25	dolencias
26	en
27	la
28	rodilla
29	y
30	en
31	el
32	tobillo
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Soy	AUX	3	cop
3	optimista	ADJ	0	root
4	y	CCONJ	6	cc
5	me	PRON	6	expl:pv
6	encuentro	VERB	3	conj
7	con	ADP	9	case
8	más	ADV	9	advmod
9	ganas	NOUN	6	obj
10	que	SCONJ	11	mark
11	nunca	ADV	9	advmod
12	,	PUNCT	17	punct
13	a	ADP	17	case
14	pesar	NOUN	13	fixed
15	de	ADP	13	fixed
16	los	DET	17	det
17	problemas	NOUN	6	obl
18	que	PRON	20	obj
19	he	AUX	20	aux
20	tenido	VERB	17	acl
21	a	ADP	25	case
22	causa	NOUN	21	fixed
23	de	ADP	21	fixed
24	las	DET	25	det
25	dolencias	NOUN	20	obl
26	en	ADP	28	case
27	la	DET	28	det
28	rodilla	NOUN	25	nmod
29	y	CCONJ	32	cc
30	en	ADP	32	case
31	el	DET	32	det
32	tobillo	NOUN	28	conj
33	.	PUNCT	3	punct