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:
En presencia de su padre, su mujer y su hija de nueve meses, que le esperaban dentro de un coche en la puerta cero del estadio, Kiko fue amenazado e insultado.
Postion	Tokenization
1	En
2	presencia
3	de
4	su
5	padre
6	,
7	su
8	mujer
9	y
10	su
11	hija
12	de
13	nueve
14	meses
15	,
16	que
17	le
18	esperaban
19	dentro
20	de
21	un
22	coche
23	en
24	la
25	puerta
26	cero
27	del
28	estadio
29	,
30	Kiko
31	fue
32	amenazado
33	e
34	insultado
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	5	case
2	presencia	NOUN	1	fixed
3	de	ADP	1	fixed
4	su	DET	5	det
5	padre	NOUN	32	obl
6	,	PUNCT	8	punct
7	su	DET	8	det
8	mujer	NOUN	5	appos
9	y	CCONJ	11	cc
10	su	DET	11	det
11	hija	NOUN	5	conj
12	de	ADP	14	case
13	nueve	NUM	14	nummod
14	meses	NOUN	11	nmod
15	,	PUNCT	18	punct
16	que	PRON	18	nsubj
17	le	PRON	18	obj
18	esperaban	VERB	5	acl
19	dentro	ADV	18	advmod
20	de	ADP	22	case
21	un	DET	22	det
22	coche	NOUN	19	obl
23	en	ADP	25	case
24	la	DET	25	det
25	puerta	NOUN	18	obl
26	cero	NUM	25	nummod
27	del	ADP	28	case
28	estadio	NOUN	25	nmod
29	,	PUNCT	5	punct
30	Kiko	PROPN	32	nsubj
31	fue	AUX	32	aux
32	amenazado	VERB	0	root
33	e	CCONJ	34	cc
34	insultado	VERB	32	conj
35	.	PUNCT	32	punct