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 comercio puede contribuir al desarrollo, pero no lo produce, y mucho menos produce el desarrollo sostenible", apuntó Lamy en una conferencia en la Universidad de Sao Paulo.
Postion	Tokenization
1	"
2	El
3	comercio
4	puede
5	contribuir
6	al
7	desarrollo
8	,
9	pero
10	no
11	lo
12	produce
13	,
14	y
15	mucho
16	menos
17	produce
18	el
19	desarrollo
20	sostenible
21	"
22	,
23	apuntó
24	Lamy
25	en
26	una
27	conferencia
28	en
29	la
30	Universidad
31	de
32	Sao
33	Paulo
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	El	DET	3	det
3	comercio	NOUN	5	nsubj
4	puede	AUX	5	aux
5	contribuir	VERB	23	xcomp
6	al	ADP	7	case
7	desarrollo	NOUN	5	obj
8	,	PUNCT	12	punct
9	pero	CCONJ	12	cc
10	no	ADV	12	advmod
11	lo	PRON	12	obj
12	produce	VERB	5	conj
13	,	PUNCT	17	punct
14	y	CCONJ	17	cc
15	mucho	ADV	16	advmod
16	menos	ADV	17	advmod
17	produce	VERB	12	conj
18	el	DET	19	det
19	desarrollo	NOUN	17	obj
20	sostenible	ADJ	19	amod
21	"	PUNCT	5	punct
22	,	PUNCT	5	punct
23	apuntó	VERB	0	root
24	Lamy	PROPN	23	nsubj
25	en	ADP	27	case
26	una	DET	27	det
27	conferencia	NOUN	23	obl
28	en	ADP	30	case
29	la	DET	30	det
30	Universidad	PROPN	23	obl
31	de	ADP	32	case
32	Sao	PROPN	30	flat
33	Paulo	PROPN	32	flat
34	.	PUNCT	23	punct