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:
Sin embargo, su gestión al frente de Industria - con otra coyuntura económica, sobre todo en los primeros años - se caracterizó, efectivamente, por evitar en todo lo posible una política poco beligerante.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	su
5	gestión
6	al
7	frente
8	de
9	Industria
10	-
11	con
12	otra
13	coyuntura
14	económica
15	,
16	sobre
17	todo
18	en
19	los
20	primeros
21	años
22	-
23	se
24	caracterizó
25	,
26	efectivamente
27	,
28	por
29	evitar
30	en
31	todo
32	lo
33	posible
34	una
35	política
36	poco
37	beligerante
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	24	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	su	DET	5	det
5	gestión	NOUN	24	nsubj
6	al	ADP	9	case
7	frente	NOUN	6	fixed
8	de	ADP	6	fixed
9	Industria	PROPN	5	nmod
10	-	PUNCT	13	punct
11	con	ADP	13	case
12	otra	DET	13	det
13	coyuntura	NOUN	5	nmod
14	económica	ADJ	13	amod
15	,	PUNCT	16	punct
16	sobre	ADP	13	advmod
17	todo	PRON	16	fixed
18	en	ADP	16	case
19	los	DET	21	det
20	primeros	ADJ	21	amod
21	años	NOUN	16	nmod
22	-	PUNCT	13	punct
23	se	PRON	24	expl:pv
24	caracterizó	VERB	0	root
25	,	PUNCT	26	punct
26	efectivamente	ADV	24	advmod
27	,	PUNCT	26	punct
28	por	ADP	29	mark
29	evitar	VERB	24	xcomp
30	en	ADP	33	case
31	todo	DET	32	det
32	lo	PRON	33	det
33	posible	ADJ	29	advmod
34	una	DET	35	det
35	política	NOUN	29	obj
36	poco	ADV	37	advmod
37	beligerante	ADJ	35	amod
38	.	PUNCT	24	punct