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:
Criticó el hecho de que las autoridades de Estados Unidos se quejen por su decisión de prohibir el sobrevuelo de aeronaves de ese país cuando en las "calles de Nueva York se ha duplicado el consumo de drogas".
Postion	Tokenization
1	Criticó
2	el
3	hecho
4	de
5	que
6	las
7	autoridades
8	de
9	Estados
10	Unidos
11	se
12	quejen
13	por
14	su
15	decisión
16	de
17	prohibir
18	el
19	sobrevuelo
20	de
21	aeronaves
22	de
23	ese
24	país
25	cuando
26	en
27	las
28	"
29	calles
30	de
31	Nueva
32	York
33	se
34	ha
35	duplicado
36	el
37	consumo
38	de
39	drogas
40	"
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Criticó	VERB	0	root
2	el	DET	3	det
3	hecho	NOUN	1	obj
4	de	ADP	12	mark
5	que	SCONJ	12	mark
6	las	DET	7	det
7	autoridades	NOUN	12	nsubj
8	de	ADP	9	case
9	Estados	PROPN	7	nmod
10	Unidos	PROPN	9	flat
11	se	PRON	12	expl:pv
12	quejen	VERB	3	acl
13	por	ADP	15	case
14	su	DET	15	det
15	decisión	NOUN	12	obj
16	de	ADP	17	mark
17	prohibir	VERB	15	acl
18	el	DET	19	det
19	sobrevuelo	NOUN	17	obj
20	de	ADP	21	case
21	aeronaves	NOUN	19	nmod
22	de	ADP	24	case
23	ese	DET	24	det
24	país	NOUN	21	nmod
25	cuando	SCONJ	35	mark
26	en	ADP	29	case
27	las	DET	29	det
28	"	PUNCT	29	punct
29	calles	NOUN	35	obl
30	de	ADP	31	case
31	Nueva	PROPN	29	nmod
32	York	PROPN	31	flat
33	se	PRON	35	expl:pv
34	ha	AUX	35	aux
35	duplicado	VERB	12	advcl
36	el	DET	37	det
37	consumo	NOUN	35	nsubj
38	de	ADP	39	case
39	drogas	NOUN	37	nmod
40	"	PUNCT	35	punct
41	.	PUNCT	1	punct