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 estudios de Hollywood encargaron a un taller de Toledo la elaboración de la espada, que no era de hierro, sino de latón.
Postion	Tokenization
1	Los
2	estudios
3	de
4	Hollywood
5	encargaron
6	a
7	un
8	taller
9	de
10	Toledo
11	la
12	elaboración
13	de
14	la
15	espada
16	,
17	que
18	no
19	era
20	de
21	hierro
22	,
23	sino
24	de
25	latón
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	estudios	NOUN	5	nsubj
3	de	ADP	4	case
4	Hollywood	PROPN	2	nmod
5	encargaron	VERB	0	root
6	a	ADP	8	case
7	un	DET	8	det
8	taller	NOUN	5	obj
9	de	ADP	10	case
10	Toledo	PROPN	8	nmod
11	la	DET	12	det
12	elaboración	NOUN	5	obj
13	de	ADP	15	case
14	la	DET	15	det
15	espada	NOUN	12	nmod
16	,	PUNCT	21	punct
17	que	PRON	21	nsubj
18	no	ADV	21	advmod
19	era	AUX	21	cop
20	de	ADP	21	case
21	hierro	NOUN	15	acl
22	,	PUNCT	25	punct
23	sino	CCONJ	25	cc
24	de	ADP	25	case
25	latón	NOUN	21	conj
26	.	PUNCT	5	punct