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 traslado de la fábrica, especializada en la fabricación de envases metálicos, no reportará pérdida de puestos de trabajo.
Postion	Tokenization
1	El
2	traslado
3	de
4	la
5	fábrica
6	,
7	especializada
8	en
9	la
10	fabricación
11	de
12	envases
13	metálicos
14	,
15	no
16	reportará
17	pérdida
18	de
19	puestos
20	de
21	trabajo
22	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	traslado	NOUN	16	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	fábrica	NOUN	2	nmod
6	,	PUNCT	7	punct
7	especializada	ADJ	5	amod
8	en	ADP	10	case
9	la	DET	10	det
10	fabricación	NOUN	7	obj
11	de	ADP	12	case
12	envases	NOUN	10	nmod
13	metálicos	ADJ	12	amod
14	,	PUNCT	7	punct
15	no	ADV	16	advmod
16	reportará	VERB	0	root
17	pérdida	NOUN	16	obj
18	de	ADP	19	case
19	puestos	NOUN	17	nmod
20	de	ADP	21	case
21	trabajo	NOUN	19	nmod
22	.	PUNCT	16	punct