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:
El suceso tuvo lugar prácticamente en privado, ya que lo presenciaron solamente los acompañantes del presidente, sus escoltas y un grupo muy reducido de personalidades de la ciudad visitada.
Postion	Tokenization
1	El
2	suceso
3	tuvo
4	lugar
5	prácticamente
6	en
7	privado
8	,
9	ya
10	que
11	lo
12	presenciaron
13	solamente
14	los
15	acompañantes
16	del
17	presidente
18	,
19	sus
20	escoltas
21	y
22	un
23	grupo
24	muy
25	reducido
26	de
27	personalidades
28	de
29	la
30	ciudad
31	visitada
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	suceso	NOUN	3	nsubj
3	tuvo	VERB	0	root
4	lugar	NOUN	3	compound
5	prácticamente	ADV	3	advmod
6	en	ADP	5	advmod
7	privado	NOUN	6	fixed
8	,	PUNCT	12	punct
9	ya	ADV	12	mark
10	que	SCONJ	9	fixed
11	lo	PRON	12	obj
12	presenciaron	VERB	3	advcl
13	solamente	ADV	15	advmod
14	los	DET	15	det
15	acompañantes	NOUN	12	nsubj
16	del	ADP	17	case
17	presidente	NOUN	15	nmod
18	,	PUNCT	20	punct
19	sus	DET	20	det
20	escoltas	NOUN	15	appos
21	y	CCONJ	23	cc
22	un	DET	23	det
23	grupo	NOUN	15	conj
24	muy	ADV	25	advmod
25	reducido	ADJ	23	amod
26	de	ADP	27	case
27	personalidades	NOUN	23	nmod
28	de	ADP	30	case
29	la	DET	30	det
30	ciudad	NOUN	27	nmod
31	visitada	ADJ	30	amod
32	.	PUNCT	3	punct