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:
La compañía del grupo especializada en recursos humanos, Umano, aumentó sus ventas en un 60 por ciento (un 13 por ciento si se descuenta la aportación de la empresa BCS recientemente adquirida) a pesar de las modificaciones que en agosto de 1999 sufrió la normativa sobre el trabajo temporal.
Postion	Tokenization
1	La
2	compañía
3	del
4	grupo
5	especializada
6	en
7	recursos
8	humanos
9	,
10	Umano
11	,
12	aumentó
13	sus
14	ventas
15	en
16	un
17	60
18	por
19	ciento
20	(
21	un
22	13
23	por
24	ciento
25	si
26	se
27	descuenta
28	la
29	aportación
30	de
31	la
32	empresa
33	BCS
34	recientemente
35	adquirida
36	)
37	a
38	pesar
39	de
40	las
41	modificaciones
42	que
43	en
44	agosto
45	de
46	1999
47	sufrió
48	la
49	normativa
50	sobre
51	el
52	trabajo
53	temporal
54	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	compañía	NOUN	12	nsubj
3	del	ADP	4	case
4	grupo	NOUN	2	nmod
5	especializada	ADJ	2	amod
6	en	ADP	7	case
7	recursos	NOUN	5	obj
8	humanos	ADJ	7	amod
9	,	PUNCT	10	punct
10	Umano	PROPN	2	appos
11	,	PUNCT	10	punct
12	aumentó	VERB	0	root
13	sus	DET	14	det
14	ventas	NOUN	12	obj
15	en	ADP	17	case
16	un	DET	17	det
17	60	NUM	12	obl
18	por	ADP	19	case
19	ciento	NUM	17	compound
20	(	PUNCT	22	punct
21	un	DET	22	det
22	13	NUM	17	compound
23	por	ADP	24	case
24	ciento	NUM	22	compound
25	si	SCONJ	27	mark
26	se	PRON	27	expl:pass
27	descuenta	VERB	22	advcl
28	la	DET	29	det
29	aportación	NOUN	27	nsubj
30	de	ADP	32	case
31	la	DET	32	det
32	empresa	NOUN	29	nmod
33	BCS	PROPN	32	appos
34	recientemente	ADV	35	advmod
35	adquirida	VERB	32	acl
36	)	PUNCT	22	punct
37	a	ADP	41	case
38	pesar	NOUN	37	fixed
39	de	ADP	37	fixed
40	las	DET	41	det
41	modificaciones	NOUN	12	obl
42	que	PRON	47	obj
43	en	ADP	44	case
44	agosto	NOUN	47	obl
45	de	ADP	46	case
46	1999	NUM	44	compound
47	sufrió	VERB	41	acl
48	la	DET	49	det
49	normativa	NOUN	47	nsubj
50	sobre	ADP	52	case
51	el	DET	52	det
52	trabajo	NOUN	49	nmod
53	temporal	ADJ	52	amod
54	.	PUNCT	12	punct