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:
Las mujeres mantienen su tasa en el 4,5%, ya que se ven beneficiadas por el crecimiento de la contratación a tiempo parcial.
Postion	Tokenization
1	Las
2	mujeres
3	mantienen
4	su
5	tasa
6	en
7	el
8	4,5%
9	,
10	ya
11	que
12	se
13	ven
14	beneficiadas
15	por
16	el
17	crecimiento
18	de
19	la
20	contratación
21	a
22	tiempo
23	parcial
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	mujeres	NOUN	3	nsubj
3	mantienen	VERB	0	root
4	su	DET	5	det
5	tasa	NOUN	3	obj
6	en	ADP	8	case
7	el	DET	8	det
8	4,5%	SYM	3	obl
9	,	PUNCT	13	punct
10	ya	ADV	13	mark
11	que	SCONJ	10	fixed
12	se	PRON	13	expl:pv
13	ven	VERB	3	advcl
14	beneficiadas	ADJ	13	obj
15	por	ADP	17	case
16	el	DET	17	det
17	crecimiento	NOUN	14	obj
18	de	ADP	20	case
19	la	DET	20	det
20	contratación	NOUN	17	nmod
21	a	ADP	22	case
22	tiempo	NOUN	20	nmod
23	parcial	ADJ	22	amod
24	.	PUNCT	3	punct