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:
Añadió que nuestro país "no solamente ha normalizado su presencia internacional, sino que además goza de respeto, prestigio y de una cierta influencia".
Postion	Tokenization
1	Añadió
2	que
3	nuestro
4	país
5	"
6	no
7	solamente
8	ha
9	normalizado
10	su
11	presencia
12	internacional
13	,
14	sino
15	que
16	además
17	goza
18	de
19	respeto
20	,
21	prestigio
22	y
23	de
24	una
25	cierta
26	influencia
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Añadió	VERB	0	root
2	que	SCONJ	9	mark
3	nuestro	DET	4	det
4	país	NOUN	9	nsubj
5	"	PUNCT	4	punct
6	no	PART	9	cc
7	solamente	NOUN	6	fixed
8	ha	AUX	9	aux
9	normalizado	VERB	1	ccomp
10	su	DET	11	det
11	presencia	NOUN	9	obj
12	internacional	ADJ	11	amod
13	,	PUNCT	17	punct
14	sino	CCONJ	17	cc
15	que	SCONJ	14	fixed
16	además	ADV	17	advmod
17	goza	VERB	9	conj
18	de	ADP	19	case
19	respeto	NOUN	17	obj
20	,	PUNCT	21	punct
21	prestigio	NOUN	19	conj
22	y	CCONJ	26	cc
23	de	ADP	26	case
24	una	DET	26	det
25	cierta	ADJ	26	amod
26	influencia	NOUN	19	conj
27	"	PUNCT	1	punct
28	.	PUNCT	1	punct