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:
Baker dijo que si los demócratas aceptan esta propuesta, los republicanos se comprometen a cambio a retirar las demandas judiciales porque "ya es hora de acabar con la crisis".
Postion	Tokenization
1	Baker
2	dijo
3	que
4	si
5	los
6	demócratas
7	aceptan
8	esta
9	propuesta
10	,
11	los
12	republicanos
13	se
14	comprometen
15	a
16	cambio
17	a
18	retirar
19	las
20	demandas
21	judiciales
22	porque
23	"
24	ya
25	es
26	hora
27	de
28	acabar
29	con
30	la
31	crisis
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Baker	PROPN	2	nsubj
2	dijo	VERB	0	root
3	que	SCONJ	14	mark
4	si	SCONJ	7	mark
5	los	DET	6	det
6	demócratas	NOUN	7	nsubj
7	aceptan	VERB	14	advcl
8	esta	DET	9	det
9	propuesta	NOUN	7	obj
10	,	PUNCT	7	punct
11	los	DET	12	det
12	republicanos	NOUN	14	nsubj
13	se	PRON	14	obj
14	comprometen	VERB	2	ccomp
15	a	ADP	14	advmod
16	cambio	NOUN	15	fixed
17	a	ADP	18	mark
18	retirar	VERB	14	xcomp
19	las	DET	20	det
20	demandas	NOUN	18	obj
21	judiciales	ADJ	20	amod
22	porque	SCONJ	25	mark
23	"	PUNCT	25	punct
24	ya	ADV	25	advmod
25	es	AUX	14	advcl
26	hora	NOUN	25	nsubj
27	de	ADP	28	mark
28	acabar	VERB	26	acl
29	con	ADP	31	case
30	la	DET	31	det
31	crisis	NOUN	28	obj
32	"	PUNCT	25	punct
33	.	PUNCT	2	punct