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:
Los buenos eran los chinos de las lavanderías, herederos de una ciencia sagrada, que devolvían las camisas más limpias que si fueran nuevas, con los cuellos y los puños como hostias recién planchadas.
Postion	Tokenization
1	Los
2	buenos
3	eran
4	los
5	chinos
6	de
7	las
8	lavanderías
9	,
10	herederos
11	de
12	una
13	ciencia
14	sagrada
15	,
16	que
17	devolvían
18	las
19	camisas
20	más
21	limpias
22	que
23	si
24	fueran
25	nuevas
26	,
27	con
28	los
29	cuellos
30	y
31	los
32	puños
33	como
34	hostias
35	recién
36	planchadas
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	buenos	ADJ	5	nsubj
3	eran	AUX	5	cop
4	los	DET	5	det
5	chinos	NOUN	0	root
6	de	ADP	8	case
7	las	DET	8	det
8	lavanderías	NOUN	5	nmod
9	,	PUNCT	10	punct
10	herederos	NOUN	5	appos
11	de	ADP	13	case
12	una	DET	13	det
13	ciencia	NOUN	10	nmod
14	sagrada	ADJ	13	amod
15	,	PUNCT	10	punct
16	que	PRON	17	nsubj
17	devolvían	VERB	5	acl
18	las	DET	19	det
19	camisas	NOUN	17	obj
20	más	ADV	21	advmod
21	limpias	ADJ	17	advmod
22	que	SCONJ	25	mark
23	si	SCONJ	25	mark
24	fueran	AUX	25	cop
25	nuevas	ADJ	21	advcl
26	,	PUNCT	21	punct
27	con	ADP	21	case
28	los	DET	29	det
29	cuellos	NOUN	21	nmod
30	y	CCONJ	32	cc
31	los	DET	32	det
32	puños	NOUN	29	conj
33	como	SCONJ	34	mark
34	hostias	NOUN	29	nmod
35	recién	ADV	36	advmod
36	planchadas	ADJ	34	amod
37	.	PUNCT	5	punct