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 margen de intermediación aumentó un 8,7 por ciento hasta alcanzar los 16.719 millones, el ordinario se redujo un 15,1 por ciento y se situó en 17.827 millones y el de explotación disminuyó un 33,5 por ciento hasta quedar en 4.716 millones.
Postion	Tokenization
1	El
2	margen
3	de
4	intermediación
5	aumentó
6	un
7	8,7
8	por
9	ciento
10	hasta
11	alcanzar
12	los
13	16.719
14	millones
15	,
16	el
17	ordinario
18	se
19	redujo
20	un
21	15,1
22	por
23	ciento
24	y
25	se
26	situó
27	en
28	17.827
29	millones
30	y
31	el
32	de
33	explotación
34	disminuyó
35	un
36	33,5
37	por
38	ciento
39	hasta
40	quedar
41	en
42	4.716
43	millones
44	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	margen	NOUN	5	nsubj
3	de	ADP	4	case
4	intermediación	NOUN	2	nmod
5	aumentó	VERB	0	root
6	un	DET	7	det
7	8,7	NUM	5	obj
8	por	ADP	9	case
9	ciento	NUM	7	compound
10	hasta	ADP	11	mark
11	alcanzar	VERB	5	advcl
12	los	DET	13	det
13	16.719	NUM	14	nummod
14	millones	NOUN	11	obj
15	,	PUNCT	5	punct
16	el	DET	17	det
17	ordinario	ADJ	19	nsubj
18	se	PRON	19	expl:pv
19	redujo	VERB	5	advcl
20	un	DET	21	det
21	15,1	NUM	19	obj
22	por	ADP	23	case
23	ciento	NUM	21	compound
24	y	CCONJ	26	cc
25	se	PRON	26	expl:pv
26	situó	VERB	19	conj
27	en	ADP	29	case
28	17.827	NUM	29	nummod
29	millones	NOUN	26	obj
30	y	CCONJ	34	cc
31	el	DET	34	det
32	de	ADP	31	case
33	explotación	NOUN	31	nsubj
34	disminuyó	VERB	19	conj
35	un	DET	36	det
36	33,5	NUM	34	obj
37	por	ADP	38	case
38	ciento	NUM	36	compound
39	hasta	ADP	40	mark
40	quedar	VERB	34	advcl
41	en	ADP	43	case
42	4.716	NUM	43	nummod
43	millones	NOUN	40	obl
44	.	PUNCT	5	punct