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:
Entre las posibilidades que se analizan se incluyen "demorar o eliminar" esa cláusula, agregó el ministro, aunque también reconoció que era "muy difícil" cambiar los contratos.
Postion	Tokenization
1	Entre
2	las
3	posibilidades
4	que
5	se
6	analizan
7	se
8	incluyen
9	"
10	demorar
11	o
12	eliminar
13	"
14	esa
15	cláusula
16	,
17	agregó
18	el
19	ministro
20	,
21	aunque
22	también
23	reconoció
24	que
25	era
26	"
27	muy
28	difícil
29	"
30	cambiar
31	los
32	contratos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	las	DET	3	det
3	posibilidades	NOUN	8	obl
4	que	PRON	6	nsubj
5	se	PRON	6	expl:pass
6	analizan	VERB	3	acl
7	se	PRON	8	expl:pass
8	incluyen	VERB	0	root
9	"	PUNCT	10	punct
10	demorar	VERB	8	csubj
11	o	CCONJ	12	cc
12	eliminar	VERB	10	conj
13	"	PUNCT	10	punct
14	esa	DET	15	det
15	cláusula	NOUN	10	obj
16	,	PUNCT	17	punct
17	agregó	VERB	8	parataxis
18	el	DET	19	det
19	ministro	NOUN	17	nsubj
20	,	PUNCT	17	punct
21	aunque	SCONJ	23	mark
22	también	ADV	23	advmod
23	reconoció	VERB	8	advcl
24	que	SCONJ	28	mark
25	era	AUX	28	cop
26	"	PUNCT	28	punct
27	muy	ADV	28	advmod
28	difícil	ADJ	23	ccomp
29	"	PUNCT	28	punct
30	cambiar	VERB	28	csubj
31	los	DET	32	det
32	contratos	NOUN	30	obj
33	.	PUNCT	8	punct