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:
The 1.25 million people who have been housed in stadiums and convention centers across Texas will begin to populate Houston, Dallas, San Antonio and Galveston, and the surrounding areas.
Postion	Tokenization
1	The
2	1.25
3	million
4	people
5	who
6	have
7	been
8	housed
9	in
10	stadiums
11	and
12	convention
13	centers
14	across
15	Texas
16	will
17	begin
18	to
19	populate
20	Houston
21	,
22	Dallas
23	,
24	San
25	Antonio
26	and
27	Galveston
28	,
29	and
30	the
31	surrounding
32	areas
33	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	4	det
2	1.25	NUM	3	compound
3	million	NUM	4	nummod
4	people	NOUN	17	nsubj
5	who	PRON	8	nsubj:pass
6	have	AUX	8	aux
7	been	AUX	8	aux:pass
8	housed	VERB	4	acl:relcl
9	in	ADP	10	case
10	stadiums	NOUN	8	obl
11	and	CCONJ	13	cc
12	convention	NOUN	13	compound
13	centers	NOUN	10	conj
14	across	ADP	15	case
15	Texas	PROPN	10	nmod
16	will	AUX	17	aux
17	begin	VERB	0	root
18	to	PART	19	mark
19	populate	VERB	17	xcomp
20	Houston	PROPN	19	obj
21	,	PUNCT	22	punct
22	Dallas	PROPN	20	conj
23	,	PUNCT	24	punct
24	San	PROPN	20	conj
25	Antonio	PROPN	24	flat
26	and	CCONJ	27	cc
27	Galveston	PROPN	20	conj
28	,	PUNCT	32	punct
29	and	CCONJ	32	cc
30	the	DET	32	det
31	surrounding	VERB	32	amod
32	areas	NOUN	20	conj
33	.	PUNCT	17	punct