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:
Por otro lado, recomendó a las autoridades mexicanas fortalecer el marco económico, para garantizar la reducción de las tasas de interés reales e impulsar el mercado de valores.
Postion	Tokenization
1	Por
2	otro
3	lado
4	,
5	recomendó
6	a
7	las
8	autoridades
9	mexicanas
10	fortalecer
11	el
12	marco
13	económico
14	,
15	para
16	garantizar
17	la
18	reducción
19	de
20	las
21	tasas
22	de
23	interés
24	reales
25	e
26	impulsar
27	el
28	mercado
29	de
30	valores
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	5	advmod
2	otro	ADJ	1	fixed
3	lado	NOUN	1	fixed
4	,	PUNCT	1	punct
5	recomendó	VERB	0	root
6	a	ADP	8	case
7	las	DET	8	det
8	autoridades	NOUN	5	iobj
9	mexicanas	ADJ	8	amod
10	fortalecer	VERB	5	xcomp
11	el	DET	12	det
12	marco	NOUN	10	obj
13	económico	ADJ	12	amod
14	,	PUNCT	16	punct
15	para	ADP	16	mark
16	garantizar	VERB	10	advcl
17	la	DET	18	det
18	reducción	NOUN	16	obj
19	de	ADP	21	case
20	las	DET	21	det
21	tasas	NOUN	18	nmod
22	de	ADP	23	case
23	interés	NOUN	21	nmod
24	reales	ADJ	21	amod
25	e	CCONJ	26	cc
26	impulsar	VERB	16	conj
27	el	DET	28	det
28	mercado	NOUN	26	obj
29	de	ADP	30	case
30	valores	NOUN	28	nmod
31	.	PUNCT	5	punct