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:
No es raro encontrarse en los congresos y reuniones de vida artificial a científicos curioseando y disfrutando de los videojuegos que presentan algunas casas comerciales, como la compañía norteamericana Maxis.
Postion	Tokenization
1	No
2	es
3	raro
4	encontrarse
5	encontrar
6	se
7	en
8	los
9	congresos
10	y
11	reuniones
12	de
13	vida
14	artificial
15	a
16	científicos
17	curioseando
18	y
19	disfrutando
20	de
21	los
22	videojuegos
23	que
24	presentan
25	algunas
26	casas
27	comerciales
28	,
29	como
30	la
31	compañía
32	norteamericana
33	Maxis
34	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	3	advmod
2	es	AUX	3	cop
3	raro	ADJ	0	root
4	encontrarse	_	None	_
5	encontrar	VERB	3	csubj
6	se	PRON	4	obj
7	en	ADP	8	case
8	los	DET	8	det
9	congresos	NOUN	4	obl
10	y	CCONJ	10	cc
11	reuniones	NOUN	8	conj
12	de	ADP	12	case
13	vida	NOUN	8	nmod
14	artificial	ADJ	12	amod
15	a	ADP	15	case
16	científicos	NOUN	4	obj
17	curioseando	VERB	4	xcomp
18	y	CCONJ	18	cc
19	disfrutando	VERB	16	conj
20	de	ADP	21	case
21	los	DET	21	det
22	videojuegos	NOUN	18	obj
23	que	PRON	23	obj
24	presentan	VERB	21	acl
25	algunas	DET	25	det
26	casas	NOUN	23	nsubj
27	comerciales	ADJ	25	amod
28	,	PUNCT	30	punct
29	como	SCONJ	30	mark
30	la	DET	30	det
31	compañía	NOUN	25	nmod
32	norteamericana	ADJ	30	amod
33	Maxis	PROPN	30	appos
34	.	PUNCT	3	punct