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:
La visita oficial, en la primera gira del nuevo presidente de Rusia al extranjero, tendrá lugar los próximos días 13 y 14, de acuerdo con el comunicado oficial.
Postion	Tokenization
1	La
2	visita
3	oficial
4	,
5	en
6	la
7	primera
8	gira
9	del
10	nuevo
11	presidente
12	de
13	Rusia
14	al
15	extranjero
16	,
17	tendrá
18	lugar
19	los
20	próximos
21	días
22	13
23	y
24	14
25	,
26	de
27	acuerdo
28	con
29	el
30	comunicado
31	oficial
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	visita	NOUN	17	nsubj
3	oficial	ADJ	2	amod
4	,	PUNCT	8	punct
5	en	ADP	8	case
6	la	DET	8	det
7	primera	ADJ	8	amod
8	gira	NOUN	2	nmod
9	del	ADP	11	case
10	nuevo	ADJ	11	amod
11	presidente	NOUN	8	nmod
12	de	ADP	13	case
13	Rusia	PROPN	11	nmod
14	al	ADP	15	case
15	extranjero	NOUN	8	nmod
16	,	PUNCT	8	punct
17	tendrá	VERB	0	root
18	lugar	NOUN	17	compound
19	los	DET	21	det
20	próximos	ADJ	21	amod
21	días	NOUN	17	obl
22	13	NUM	21	appos
23	y	CCONJ	24	cc
24	14	NUM	22	conj
25	,	PUNCT	30	punct
26	de	ADP	30	case
27	acuerdo	NOUN	26	fixed
28	con	ADP	26	fixed
29	el	DET	30	det
30	comunicado	NOUN	17	obl
31	oficial	ADJ	30	amod
32	.	PUNCT	17	punct