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:
Me alegro de haber podido con todo, porque cualquier paso que daba era muy bueno para la película, pero muy malo para mi salud, sobre todo mental".
Postion	Tokenization
1	Me
2	alegro
3	de
4	haber
5	podido
6	con
7	todo
8	,
9	porque
10	cualquier
11	paso
12	que
13	daba
14	era
15	muy
16	bueno
17	para
18	la
19	película
20	,
21	pero
22	muy
23	malo
24	para
25	mi
26	salud
27	,
28	sobre
29	todo
30	mental
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Me	PRON	2	expl:pv
2	alegro	VERB	0	root
3	de	ADP	5	mark
4	haber	AUX	5	aux
5	podido	VERB	2	ccomp
6	con	ADP	7	case
7	todo	PRON	5	obl
8	,	PUNCT	16	punct
9	porque	SCONJ	16	mark
10	cualquier	DET	11	det
11	paso	NOUN	16	nsubj
12	que	PRON	13	obj
13	daba	VERB	11	acl
14	era	AUX	16	cop
15	muy	ADV	16	advmod
16	bueno	ADJ	2	advcl
17	para	ADP	19	case
18	la	DET	19	det
19	película	NOUN	16	obj
20	,	PUNCT	23	punct
21	pero	CCONJ	23	cc
22	muy	ADV	23	advmod
23	malo	ADJ	16	conj
24	para	ADP	23	case
25	mi	DET	26	det
26	salud	NOUN	23	nmod
27	,	PUNCT	30	punct
28	sobre	ADP	30	advmod
29	todo	PRON	28	fixed
30	mental	ADJ	26	amod
31	"	PUNCT	2	punct
32	.	PUNCT	2	punct