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:
Bruntland propuso en 1999 que el tabaco se expendiera en las farmacias y con receta médica, por su contenido de nicotina.
Postion	Tokenization
1	Bruntland
2	propuso
3	en
4	1999
5	que
6	el
7	tabaco
8	se
9	expendiera
10	en
11	las
12	farmacias
13	y
14	con
15	receta
16	médica
17	,
18	por
19	su
20	contenido
21	de
22	nicotina
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Bruntland	PROPN	2	nsubj
2	propuso	VERB	0	root
3	en	ADP	4	case
4	1999	NOUN	2	obl
5	que	SCONJ	9	mark
6	el	DET	7	det
7	tabaco	NOUN	9	nsubj
8	se	PRON	9	expl:pass
9	expendiera	VERB	2	ccomp
10	en	ADP	12	case
11	las	DET	12	det
12	farmacias	NOUN	9	obl
13	y	CCONJ	15	cc
14	con	ADP	15	case
15	receta	NOUN	12	conj
16	médica	ADJ	15	amod
17	,	PUNCT	20	punct
18	por	ADP	20	case
19	su	DET	20	det
20	contenido	NOUN	9	obl
21	de	ADP	22	case
22	nicotina	NOUN	20	nmod
23	.	PUNCT	2	punct