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:
Comentó que sin las enmiendas de última hora, cabía la posibilidad de que "los estándares laborales y medioambientales fueran utilizados por algunas organizaciones para practicar nuevas formas de neo-proteccionismo".
Postion	Tokenization
1	Comentó
2	que
3	sin
4	las
5	enmiendas
6	de
7	última
8	hora
9	,
10	cabía
11	la
12	posibilidad
13	de
14	que
15	"
16	los
17	estándares
18	laborales
19	y
20	medioambientales
21	fueran
22	utilizados
23	por
24	algunas
25	organizaciones
26	para
27	practicar
28	nuevas
29	formas
30	de
31	neo-proteccionismo
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Comentó	VERB	0	root
2	que	SCONJ	10	mark
3	sin	ADP	5	case
4	las	DET	5	det
5	enmiendas	NOUN	10	obl
6	de	ADP	8	case
7	última	ADJ	8	amod
8	hora	NOUN	5	nmod
9	,	PUNCT	5	punct
10	cabía	VERB	1	ccomp
11	la	DET	12	det
12	posibilidad	NOUN	10	nsubj
13	de	ADP	22	mark
14	que	SCONJ	22	mark
15	"	PUNCT	22	punct
16	los	DET	17	det
17	estándares	NOUN	22	nsubj
18	laborales	ADJ	17	amod
19	y	CCONJ	20	cc
20	medioambientales	ADJ	18	conj
21	fueran	AUX	22	aux
22	utilizados	VERB	12	acl
23	por	ADP	25	case
24	algunas	DET	25	det
25	organizaciones	NOUN	22	obj
26	para	ADP	27	mark
27	practicar	VERB	22	advcl
28	nuevas	ADJ	29	amod
29	formas	NOUN	27	obj
30	de	ADP	31	case
31	neo-proteccionismo	NOUN	29	nmod
32	"	PUNCT	22	punct
33	.	PUNCT	1	punct