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:
Los actores fueron seleccionados "entre los muchos que hay en Nueva York y que trabajan como camareros, en un videoclub o en cualquier oficio".
Postion	Tokenization
1	Los
2	actores
3	fueron
4	seleccionados
5	"
6	entre
7	los
8	muchos
9	que
10	hay
11	en
12	Nueva
13	York
14	y
15	que
16	trabajan
17	como
18	camareros
19	,
20	en
21	un
22	videoclub
23	o
24	en
25	cualquier
26	oficio
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	actores	NOUN	4	nsubj
3	fueron	AUX	4	aux
4	seleccionados	VERB	0	root
5	"	PUNCT	8	punct
6	entre	ADP	8	case
7	los	DET	8	det
8	muchos	PRON	4	obl
9	que	PRON	10	obj
10	hay	AUX	8	acl
11	en	ADP	12	case
12	Nueva	PROPN	10	obl
13	York	PROPN	12	flat
14	y	CCONJ	16	cc
15	que	PRON	16	nsubj
16	trabajan	VERB	10	conj
17	como	SCONJ	18	mark
18	camareros	NOUN	16	obj
19	,	PUNCT	22	punct
20	en	ADP	22	case
21	un	DET	22	det
22	videoclub	NOUN	16	obl
23	o	CCONJ	26	cc
24	en	ADP	26	case
25	cualquier	DET	26	det
26	oficio	NOUN	22	conj
27	"	PUNCT	8	punct
28	.	PUNCT	4	punct