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:
"Su respaldo en estos últimos meses ha sido muy importante para superar el problema que vive mi país", admitió, para añadir que se marcha sin ningún rencor contra el técnico por su decisión.
Postion	Tokenization
1	"
2	Su
3	respaldo
4	en
5	estos
6	últimos
7	meses
8	ha
9	sido
10	muy
11	importante
12	para
13	superar
14	el
15	problema
16	que
17	vive
18	mi
19	país
20	"
21	,
22	admitió
23	,
24	para
25	añadir
26	que
27	se
28	marcha
29	sin
30	ningún
31	rencor
32	contra
33	el
34	técnico
35	por
36	su
37	decisión
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	11	punct
2	Su	DET	3	det
3	respaldo	NOUN	11	nsubj
4	en	ADP	7	case
5	estos	DET	7	det
6	últimos	ADJ	7	amod
7	meses	NOUN	3	nmod
8	ha	AUX	11	aux
9	sido	AUX	11	cop
10	muy	ADV	11	advmod
11	importante	ADJ	22	ccomp
12	para	ADP	13	mark
13	superar	VERB	11	acl
14	el	DET	15	det
15	problema	NOUN	13	obj
16	que	PRON	17	obj
17	vive	VERB	15	acl
18	mi	DET	19	det
19	país	NOUN	17	nsubj
20	"	PUNCT	11	punct
21	,	PUNCT	11	punct
22	admitió	VERB	0	root
23	,	PUNCT	25	punct
24	para	ADP	25	mark
25	añadir	VERB	22	advcl
26	que	SCONJ	28	mark
27	se	PRON	28	expl:pv
28	marcha	VERB	25	ccomp
29	sin	ADP	31	case
30	ningún	DET	31	det
31	rencor	NOUN	28	obl
32	contra	ADP	34	case
33	el	DET	34	det
34	técnico	NOUN	31	nmod
35	por	ADP	37	case
36	su	DET	37	det
37	decisión	NOUN	31	nmod
38	.	PUNCT	22	punct