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:
Al término de la sesión de hoy todos los sectores tuvieron pérdidas, la principal fue para servicios con el 5,32 por ciento, seguido de comunicaciones y transportes con 4,20 por ciento.
Postion	Tokenization
1	Al
2	término
3	de
4	la
5	sesión
6	de
7	hoy
8	todos
9	los
10	sectores
11	tuvieron
12	pérdidas
13	,
14	la
15	principal
16	fue
17	para
18	servicios
19	con
20	el
21	5,32
22	por
23	ciento
24	,
25	seguido
26	de
27	comunicaciones
28	y
29	transportes
30	con
31	4,20
32	por
33	ciento
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	5	case
2	término	NOUN	1	fixed
3	de	ADP	1	fixed
4	la	DET	5	det
5	sesión	NOUN	11	obl
6	de	ADP	7	case
7	hoy	ADV	5	advmod
8	todos	DET	9	det
9	los	DET	10	det
10	sectores	NOUN	11	nsubj
11	tuvieron	VERB	0	root
12	pérdidas	NOUN	11	obj
13	,	PUNCT	11	punct
14	la	DET	15	det
15	principal	ADJ	18	nsubj
16	fue	AUX	18	cop
17	para	ADP	18	case
18	servicios	NOUN	11	advcl
19	con	ADP	21	case
20	el	DET	21	det
21	5,32	NUM	18	nummod
22	por	ADP	23	case
23	ciento	NUM	21	compound
24	,	PUNCT	25	punct
25	seguido	ADJ	18	amod
26	de	ADP	27	case
27	comunicaciones	NOUN	25	obj
28	y	CCONJ	29	cc
29	transportes	NOUN	27	conj
30	con	ADP	31	case
31	4,20	NUM	27	nummod
32	por	ADP	33	case
33	ciento	NUM	31	compound
34	.	PUNCT	11	punct