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:
Los médicos que la han atendido aseguran que la mujer, que había sido toxicómana, había pedido que el embarazo siguiera adelante aunque a ella le ocurriera lo peor.
Postion	Tokenization
1	Los
2	médicos
3	que
4	la
5	han
6	atendido
7	aseguran
8	que
9	la
10	mujer
11	,
12	que
13	había
14	sido
15	toxicómana
16	,
17	había
18	pedido
19	que
20	el
21	embarazo
22	siguiera
23	adelante
24	aunque
25	a
26	ella
27	le
28	ocurriera
29	lo
30	peor
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	médicos	NOUN	7	nsubj
3	que	PRON	6	nsubj
4	la	PRON	6	obj
5	han	AUX	6	aux
6	atendido	VERB	2	acl
7	aseguran	VERB	0	root
8	que	SCONJ	18	mark
9	la	DET	10	det
10	mujer	NOUN	18	nsubj
11	,	PUNCT	15	punct
12	que	PRON	15	nsubj
13	había	AUX	15	aux
14	sido	AUX	15	cop
15	toxicómana	ADJ	10	acl
16	,	PUNCT	15	punct
17	había	AUX	18	aux
18	pedido	VERB	7	ccomp
19	que	SCONJ	22	mark
20	el	DET	21	det
21	embarazo	NOUN	22	nsubj
22	siguiera	VERB	18	ccomp
23	adelante	ADV	22	advmod
24	aunque	SCONJ	28	mark
25	a	ADP	26	case
26	ella	PRON	28	obj
27	le	PRON	28	obj
28	ocurriera	VERB	22	advcl
29	lo	PRON	30	det
30	peor	ADJ	28	nsubj
31	.	PUNCT	7	punct