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:
Se efectuaron 143 operaciones por 1.537.896.862.75 bolívares (2,28 millones de dólares), en las que cambiaron de mano 8.715.160 acciones y dos subieron, siete bajaron y 15 se mantuvieron estables.
Postion	Tokenization
1	Se
2	efectuaron
3	143
4	operaciones
5	por
6	1.537.896.862.75
7	bolívares
8	(
9	2,28
10	millones
11	de
12	dólares
13	)
14	,
15	en
16	las
17	que
18	cambiaron
19	de
20	mano
21	8.715.160
22	acciones
23	y
24	dos
25	subieron
26	,
27	siete
28	bajaron
29	y
30	15
31	se
32	mantuvieron
33	estables
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:pass
2	efectuaron	VERB	0	root
3	143	NUM	4	nummod
4	operaciones	NOUN	2	nsubj
5	por	ADP	7	case
6	1.537.896.862.75	NUM	7	nummod
7	bolívares	NOUN	4	nmod
8	(	PUNCT	10	punct
9	2,28	NUM	10	nummod
10	millones	NOUN	7	appos
11	de	ADP	12	case
12	dólares	NOUN	10	nmod
13	)	PUNCT	10	punct
14	,	PUNCT	18	punct
15	en	ADP	17	case
16	las	DET	17	det
17	que	PRON	18	obl
18	cambiaron	VERB	4	acl
19	de	ADP	20	case
20	mano	NOUN	18	obj
21	8.715.160	NUM	22	nummod
22	acciones	NOUN	18	nsubj
23	y	CCONJ	25	cc
24	dos	NUM	25	nsubj
25	subieron	VERB	18	conj
26	,	PUNCT	28	punct
27	siete	NUM	28	nsubj
28	bajaron	VERB	25	advcl
29	y	CCONJ	32	cc
30	15	NUM	32	nsubj
31	se	PRON	32	expl:pv
32	mantuvieron	VERB	25	conj
33	estables	ADJ	32	obj
34	.	PUNCT	2	punct