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:
También confió en que, durante su mandato, se aprueben las leyes de la Seguridad Social, Salud y Electricidad, y el Código Monetario y Financiero.
Postion	Tokenization
1	También
2	confió
3	en
4	que
5	,
6	durante
7	su
8	mandato
9	,
10	se
11	aprueben
12	las
13	leyes
14	de
15	la
16	Seguridad
17	Social
18	,
19	Salud
20	y
21	Electricidad
22	,
23	y
24	el
25	Código
26	Monetario
27	y
28	Financiero
29	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	confió	VERB	0	root
3	en	ADP	11	mark
4	que	SCONJ	11	mark
5	,	PUNCT	8	punct
6	durante	ADP	8	case
7	su	DET	8	det
8	mandato	NOUN	11	obl
9	,	PUNCT	8	punct
10	se	PRON	11	expl:pass
11	aprueben	VERB	2	ccomp
12	las	DET	13	det
13	leyes	NOUN	11	nsubj
14	de	ADP	16	case
15	la	DET	16	det
16	Seguridad	PROPN	13	nmod
17	Social	PROPN	16	flat
18	,	PUNCT	19	punct
19	Salud	PROPN	16	conj
20	y	CCONJ	21	cc
21	Electricidad	PROPN	16	conj
22	,	PUNCT	25	punct
23	y	CCONJ	25	cc
24	el	DET	25	det
25	Código	PROPN	13	conj
26	Monetario	PROPN	25	flat
27	y	CCONJ	28	cc
28	Financiero	PROPN	25	conj
29	.	PUNCT	2	punct