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 incremento se debe a la progresión de las ventas de coches del fabricante alemán, que compensaron los problemas provocados por las filiales Rover y Land Rover, vendidas al consorcio Phoenix y a Ford.
Postion	Tokenization
1	El
2	incremento
3	se
4	debe
5	a
6	la
7	progresión
8	de
9	las
10	ventas
11	de
12	coches
13	del
14	fabricante
15	alemán
16	,
17	que
18	compensaron
19	los
20	problemas
21	provocados
22	por
23	las
24	filiales
25	Rover
26	y
27	Land
28	Rover
29	,
30	vendidas
31	al
32	consorcio
33	Phoenix
34	y
35	a
36	Ford
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	incremento	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	debe	VERB	0	root
5	a	ADP	7	case
6	la	DET	7	det
7	progresión	NOUN	4	obj
8	de	ADP	10	case
9	las	DET	10	det
10	ventas	NOUN	7	nmod
11	de	ADP	12	case
12	coches	NOUN	10	nmod
13	del	ADP	14	case
14	fabricante	NOUN	10	nmod
15	alemán	ADJ	14	amod
16	,	PUNCT	18	punct
17	que	PRON	18	nsubj
18	compensaron	VERB	10	acl
19	los	DET	20	det
20	problemas	NOUN	18	obj
21	provocados	ADJ	20	amod
22	por	ADP	24	case
23	las	DET	24	det
24	filiales	NOUN	21	obj
25	Rover	PROPN	24	appos
26	y	CCONJ	27	cc
27	Land	PROPN	25	conj
28	Rover	PROPN	27	flat
29	,	PUNCT	30	punct
30	vendidas	ADJ	24	amod
31	al	ADP	32	case
32	consorcio	NOUN	30	obj
33	Phoenix	PROPN	32	appos
34	y	CCONJ	36	cc
35	a	ADP	36	case
36	Ford	PROPN	32	conj
37	.	PUNCT	4	punct