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 propio James Watt, veinte años más tarde, se referiría a algo parecido, cuando solicitó patente para lo que constituía su séptimo invento.
Postion	Tokenization
1	El
2	propio
3	James
4	Watt
5	,
6	veinte
7	años
8	más
9	tarde
10	,
11	se
12	referiría
13	a
14	algo
15	parecido
16	,
17	cuando
18	solicitó
19	patente
20	para
21	lo
22	que
23	constituía
24	su
25	séptimo
26	invento
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	propio	DET	1	det
3	James	PROPN	12	nsubj
4	Watt	PROPN	3	flat
5	,	PUNCT	7	punct
6	veinte	NUM	7	nummod
7	años	NOUN	12	obl
8	más	ADV	9	advmod
9	tarde	ADV	7	advmod
10	,	PUNCT	7	punct
11	se	PRON	12	expl:pv
12	referiría	VERB	0	root
13	a	ADP	14	case
14	algo	PRON	12	obj
15	parecido	ADJ	14	amod
16	,	PUNCT	18	punct
17	cuando	SCONJ	18	mark
18	solicitó	VERB	12	advcl
19	patente	NOUN	18	obj
20	para	ADP	23	mark
21	lo	PRON	23	det
22	que	PRON	23	nsubj
23	constituía	VERB	18	advcl
24	su	DET	26	det
25	séptimo	ADJ	26	amod
26	invento	NOUN	23	obj
27	.	PUNCT	12	punct