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 Representante Comercial de EEUU, Charlene Barshefsky, advirtió de que una demora podría poner en peligro el acuerdo que abrirá a este país los mercados chinos con más de 1.300 millones de consumidores.
Postion	Tokenization
1	La
2	Representante
3	Comercial
4	de
5	EEUU
6	,
7	Charlene
8	Barshefsky
9	,
10	advirtió
11	de
12	que
13	una
14	demora
15	podría
16	poner
17	en
18	peligro
19	el
20	acuerdo
21	que
22	abrirá
23	a
24	este
25	país
26	los
27	mercados
28	chinos
29	con
30	más
31	de
32	1.300
33	millones
34	de
35	consumidores
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Representante	PROPN	10	nsubj
3	Comercial	PROPN	2	flat
4	de	ADP	5	case
5	EEUU	PROPN	2	nmod
6	,	PUNCT	7	punct
7	Charlene	PROPN	2	flat
8	Barshefsky	PROPN	7	flat
9	,	PUNCT	7	punct
10	advirtió	VERB	0	root
11	de	ADP	16	mark
12	que	SCONJ	16	mark
13	una	DET	14	det
14	demora	NOUN	16	nsubj
15	podría	AUX	16	aux
16	poner	VERB	10	xcomp
17	en	ADP	18	case
18	peligro	NOUN	16	obl
19	el	DET	20	det
20	acuerdo	NOUN	16	obj
21	que	PRON	22	nsubj
22	abrirá	VERB	20	acl
23	a	ADP	25	case
24	este	DET	25	det
25	país	NOUN	22	obj
26	los	DET	27	det
27	mercados	NOUN	22	obj
28	chinos	ADJ	27	amod
29	con	ADP	33	case
30	más	ADV	33	advmod
31	de	ADP	30	fixed
32	1.300	NUM	30	nummod
33	millones	NOUN	22	obl
34	de	ADP	35	case
35	consumidores	NOUN	33	nmod
36	.	PUNCT	10	punct