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 volumen de negocios fue de 1.032 millones de acciones y entre los títulos que cambiaron de manos, 1421 subieron, 1562 bajaron y 517 se mantuvieron sin cambios.
Postion	Tokenization
1	El
2	volumen
3	de
4	negocios
5	fue
6	de
7	1.032
8	millones
9	de
10	acciones
11	y
12	entre
13	los
14	títulos
15	que
16	cambiaron
17	de
18	manos
19	,
20	1421
21	subieron
22	,
23	1562
24	bajaron
25	y
26	517
27	se
28	mantuvieron
29	sin
30	cambios
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	volumen	NOUN	8	nsubj
3	de	ADP	4	case
4	negocios	NOUN	2	nmod
5	fue	AUX	8	cop
6	de	ADP	8	case
7	1.032	NUM	8	nummod
8	millones	NOUN	0	root
9	de	ADP	10	case
10	acciones	NOUN	8	nmod
11	y	CCONJ	21	cc
12	entre	ADP	14	case
13	los	DET	14	det
14	títulos	NOUN	21	obl
15	que	PRON	16	nsubj
16	cambiaron	VERB	14	acl
17	de	ADP	18	case
18	manos	NOUN	16	obj
19	,	PUNCT	14	punct
20	1421	NUM	21	nsubj
21	subieron	VERB	8	conj
22	,	PUNCT	24	punct
23	1562	NUM	24	nsubj
24	bajaron	VERB	21	advcl
25	y	CCONJ	28	cc
26	517	NUM	28	nsubj
27	se	PRON	28	expl:pass
28	mantuvieron	VERB	21	conj
29	sin	ADP	30	case
30	cambios	NOUN	28	obl
31	.	PUNCT	8	punct