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 carro iba al trote, pero el trabajo familiar galopaba: "Hacían hasta cuatro mudanzas al día", recuerda Rojals, revolviendo su baúl de recuerdos.
Postion	Tokenization
1	El
2	carro
3	iba
4	al
5	trote
6	,
7	pero
8	el
9	trabajo
10	familiar
11	galopaba
12	:
13	"
14	Hacían
15	hasta
16	cuatro
17	mudanzas
18	al
19	día
20	"
21	,
22	recuerda
23	Rojals
24	,
25	revolviendo
26	su
27	baúl
28	de
29	recuerdos
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	carro	NOUN	3	nsubj
3	iba	VERB	0	root
4	al	ADP	5	case
5	trote	NOUN	3	obl
6	,	PUNCT	11	punct
7	pero	CCONJ	11	cc
8	el	DET	9	det
9	trabajo	NOUN	11	nsubj
10	familiar	ADJ	9	amod
11	galopaba	VERB	3	conj
12	:	PUNCT	22	punct
13	"	PUNCT	14	punct
14	Hacían	VERB	22	ccomp
15	hasta	ADP	17	case
16	cuatro	NUM	17	nummod
17	mudanzas	NOUN	14	obj
18	al	ADP	19	case
19	día	NOUN	14	obl
20	"	PUNCT	14	punct
21	,	PUNCT	14	punct
22	recuerda	VERB	3	advcl
23	Rojals	PROPN	22	nsubj
24	,	PUNCT	25	punct
25	revolviendo	VERB	22	advcl
26	su	DET	27	det
27	baúl	NOUN	25	obj
28	de	ADP	29	case
29	recuerdos	NOUN	27	nmod
30	.	PUNCT	3	punct