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:
La OMS ha alertado del creciente consumo de tabaco en los países pobres, por la nueva estrategia comercial de los productores.
Postion	Tokenization
1	La
2	OMS
3	ha
4	alertado
5	del
6	creciente
7	consumo
8	de
9	tabaco
10	en
11	los
12	países
13	pobres
14	,
15	por
16	la
17	nueva
18	estrategia
19	comercial
20	de
21	los
22	productores
23	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	OMS	PROPN	4	nsubj
3	ha	AUX	4	aux
4	alertado	VERB	0	root
5	del	ADP	7	case
6	creciente	ADJ	7	amod
7	consumo	NOUN	4	obj
8	de	ADP	9	case
9	tabaco	NOUN	7	nmod
10	en	ADP	12	case
11	los	DET	12	det
12	países	NOUN	7	nmod
13	pobres	ADJ	12	amod
14	,	PUNCT	18	punct
15	por	ADP	18	case
16	la	DET	18	det
17	nueva	ADJ	18	amod
18	estrategia	NOUN	7	nmod
19	comercial	ADJ	18	amod
20	de	ADP	22	case
21	los	DET	22	det
22	productores	NOUN	18	nmod
23	.	PUNCT	4	punct