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:
El británico Tim Henman, siempre tan comedido, no pudo reprimir su enfado y tras caer contra el australiano Mark Philippoussis rompió su raqueta, pero contra su pie izquierdo.
Postion	Tokenization
1	El
2	británico
3	Tim
4	Henman
5	,
6	siempre
7	tan
8	comedido
9	,
10	no
11	pudo
12	reprimir
13	su
14	enfado
15	y
16	tras
17	caer
18	contra
19	el
20	australiano
21	Mark
22	Philippoussis
23	rompió
24	su
25	raqueta
26	,
27	pero
28	contra
29	su
30	pie
31	izquierdo
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	británico	NOUN	12	nsubj
3	Tim	PROPN	2	appos
4	Henman	PROPN	3	flat
5	,	PUNCT	8	punct
6	siempre	ADV	8	advmod
7	tan	ADV	8	advmod
8	comedido	ADJ	2	amod
9	,	PUNCT	8	punct
10	no	ADV	12	advmod
11	pudo	AUX	12	aux
12	reprimir	VERB	0	root
13	su	DET	14	det
14	enfado	NOUN	12	obj
15	y	CCONJ	23	cc
16	tras	ADP	17	mark
17	caer	VERB	23	advcl
18	contra	ADP	20	case
19	el	DET	20	det
20	australiano	NOUN	17	obl
21	Mark	PROPN	20	appos
22	Philippoussis	PROPN	21	flat
23	rompió	VERB	12	conj
24	su	DET	25	det
25	raqueta	NOUN	23	obj
26	,	PUNCT	30	punct
27	pero	CCONJ	30	cc
28	contra	ADP	30	case
29	su	DET	30	det
30	pie	NOUN	23	conj
31	izquierdo	ADJ	30	amod
32	.	PUNCT	12	punct