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 laboratorio productor del medicamento, la empresa norteamericana Pfizer, respaldó la medida, ya que de esta forma se evitará que las pastillas "de origen dudoso" lleguen a manos de la clientela.
Postion	Tokenization
1	El
2	laboratorio
3	productor
4	del
5	medicamento
6	,
7	la
8	empresa
9	norteamericana
10	Pfizer
11	,
12	respaldó
13	la
14	medida
15	,
16	ya
17	que
18	de
19	esta
20	forma
21	se
22	evitará
23	que
24	las
25	pastillas
26	"
27	de
28	origen
29	dudoso
30	"
31	lleguen
32	a
33	manos
34	de
35	la
36	clientela
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	laboratorio	NOUN	12	nsubj
3	productor	ADJ	2	amod
4	del	ADP	5	case
5	medicamento	NOUN	2	nmod
6	,	PUNCT	8	punct
7	la	DET	8	det
8	empresa	NOUN	2	appos
9	norteamericana	ADJ	8	amod
10	Pfizer	PROPN	8	appos
11	,	PUNCT	8	punct
12	respaldó	VERB	0	root
13	la	DET	14	det
14	medida	NOUN	12	obj
15	,	PUNCT	22	punct
16	ya	ADV	22	mark
17	que	SCONJ	16	fixed
18	de	ADP	20	case
19	esta	DET	20	det
20	forma	NOUN	22	obl
21	se	PRON	22	expl:pass
22	evitará	VERB	12	advcl
23	que	SCONJ	31	mark
24	las	DET	25	det
25	pastillas	NOUN	31	nsubj
26	"	PUNCT	28	punct
27	de	ADP	28	case
28	origen	NOUN	25	nmod
29	dudoso	ADJ	28	amod
30	"	PUNCT	28	punct
31	lleguen	VERB	22	csubj
32	a	ADP	36	case
33	manos	NOUN	32	fixed
34	de	ADP	32	fixed
35	la	DET	36	det
36	clientela	NOUN	31	obl
37	.	PUNCT	12	punct