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:
También pide a médicos y farmacéuticos que adviertan a los pacientes de los posibles efectos secundarios, "así como otros que pueden aparecer con el uso más extendido del medicamento".
Postion	Tokenization
1	También
2	pide
3	a
4	médicos
5	y
6	farmacéuticos
7	que
8	adviertan
9	a
10	los
11	pacientes
12	de
13	los
14	posibles
15	efectos
16	secundarios
17	,
18	"
19	así
20	como
21	otros
22	que
23	pueden
24	aparecer
25	con
26	el
27	uso
28	más
29	extendido
30	del
31	medicamento
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	2	advmod
2	pide	VERB	0	root
3	a	ADP	4	case
4	médicos	NOUN	2	iobj
5	y	CCONJ	6	cc
6	farmacéuticos	NOUN	4	conj
7	que	SCONJ	8	mark
8	adviertan	VERB	2	ccomp
9	a	ADP	11	case
10	los	DET	11	det
11	pacientes	NOUN	8	obj
12	de	ADP	8	case
13	los	DET	15	det
14	posibles	ADJ	15	amod
15	efectos	NOUN	12	conj
16	secundarios	ADJ	15	amod
17	,	PUNCT	21	punct
18	"	PUNCT	21	punct
19	así	ADV	21	cc
20	como	SCONJ	19	fixed
21	otros	PRON	12	conj
22	que	PRON	24	nsubj
23	pueden	AUX	24	aux
24	aparecer	VERB	21	acl
25	con	ADP	27	case
26	el	DET	27	det
27	uso	NOUN	24	obl
28	más	ADV	29	advmod
29	extendido	ADJ	27	amod
30	del	ADP	31	case
31	medicamento	NOUN	27	nmod
32	"	PUNCT	8	punct
33	.	PUNCT	2	punct