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:
Para el Gobierno español, su relación política con México es "excelente", pero no así la comercial, que apenas representa el 1% de sus respectivas exportaciones.
Postion	Tokenization
1	Para
2	el
3	Gobierno
4	español
5	,
6	su
7	relación
8	política
9	con
10	México
11	es
12	"
13	excelente
14	"
15	,
16	pero
17	no
18	así
19	la
20	comercial
21	,
22	que
23	apenas
24	representa
25	el
26	1%
27	de
28	sus
29	respectivas
30	exportaciones
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	el	DET	3	det
3	Gobierno	PROPN	13	obl
4	español	ADJ	3	amod
5	,	PUNCT	3	punct
6	su	DET	7	det
7	relación	NOUN	13	nsubj
8	política	ADJ	7	amod
9	con	ADP	10	case
10	México	PROPN	7	nmod
11	es	AUX	13	cop
12	"	PUNCT	13	punct
13	excelente	ADJ	0	root
14	"	PUNCT	13	punct
15	,	PUNCT	24	punct
16	pero	CCONJ	24	cc
17	no	ADV	24	advmod
18	así	ADV	24	advmod
19	la	DET	24	det
20	comercial	ADJ	24	amod
21	,	PUNCT	24	punct
22	que	PRON	24	nsubj
23	apenas	ADV	24	advmod
24	representa	VERB	13	conj
25	el	DET	26	det
26	1%	SYM	24	obj
27	de	ADP	30	case
28	sus	DET	30	det
29	respectivas	ADJ	30	amod
30	exportaciones	NOUN	26	nmod
31	.	PUNCT	13	punct