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 mujer, Hayat Khammal, de 27 años y embarazada de cuatro meses, recibió el puñetazo en el tórax por parte del agente, propinado con la mano en la que éste llevaba las esposas.
Postion	Tokenization
1	La
2	mujer
3	,
4	Hayat
5	Khammal
6	,
7	de
8	27
9	años
10	y
11	embarazada
12	de
13	cuatro
14	meses
15	,
16	recibió
17	el
18	puñetazo
19	en
20	el
21	tórax
22	por
23	parte
24	del
25	agente
26	,
27	propinado
28	con
29	la
30	mano
31	en
32	la
33	que
34	éste
35	llevaba
36	las
37	esposas
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	mujer	NOUN	16	nsubj
3	,	PUNCT	4	punct
4	Hayat	PROPN	2	appos
5	Khammal	PROPN	4	flat
6	,	PUNCT	4	punct
7	de	ADP	9	case
8	27	NUM	9	nummod
9	años	NOUN	2	nmod
10	y	CCONJ	11	cc
11	embarazada	ADJ	9	conj
12	de	ADP	14	case
13	cuatro	NUM	14	nummod
14	meses	NOUN	11	obl
15	,	PUNCT	2	punct
16	recibió	VERB	0	root
17	el	DET	18	det
18	puñetazo	NOUN	16	obj
19	en	ADP	21	case
20	el	DET	21	det
21	tórax	NOUN	16	obl
22	por	ADP	25	case
23	parte	NOUN	22	fixed
24	del	ADP	22	fixed
25	agente	NOUN	16	obl
26	,	PUNCT	27	punct
27	propinado	ADJ	16	advmod
28	con	ADP	30	case
29	la	DET	30	det
30	mano	NOUN	27	obl
31	en	ADP	33	case
32	la	DET	33	det
33	que	PRON	35	obl
34	éste	PRON	35	nsubj
35	llevaba	VERB	30	acl
36	las	DET	37	det
37	esposas	NOUN	35	obj
38	.	PUNCT	16	punct