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 hombre, que iba armado y pidió hablar con su psiquiatra, retenía anoche a 24 de los alumnos de una escuela infantil.
Postion	Tokenization
1	El
2	hombre
3	,
4	que
5	iba
6	armado
7	y
8	pidió
9	hablar
10	con
11	su
12	psiquiatra
13	,
14	retenía
15	anoche
16	a
17	24
18	de
19	los
20	alumnos
21	de
22	una
23	escuela
24	infantil
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	hombre	NOUN	14	nsubj
3	,	PUNCT	5	punct
4	que	PRON	5	nsubj
5	iba	VERB	2	acl
6	armado	ADJ	5	obj
7	y	CCONJ	8	cc
8	pidió	VERB	5	conj
9	hablar	VERB	8	xcomp
10	con	ADP	12	case
11	su	DET	12	det
12	psiquiatra	NOUN	9	obl
13	,	PUNCT	5	punct
14	retenía	VERB	0	root
15	anoche	ADV	14	advmod
16	a	ADP	17	case
17	24	NUM	14	obj
18	de	ADP	20	case
19	los	DET	20	det
20	alumnos	NOUN	17	nmod
21	de	ADP	23	case
22	una	DET	23	det
23	escuela	NOUN	20	nmod
24	infantil	ADJ	23	amod
25	.	PUNCT	14	punct